_content/blog: add 2024 H1 developer survey results
Change-Id: Icf32a0db2d56620f1ac66126345540fa8bfb22a5
Reviewed-on: https://go-review.googlesource.com/c/website/+/577115
Reviewed-by: Cameron Balahan <cbalahan@google.com>
Reviewed-by: Todd Kulesza <tkulesza@google.com>
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+---
+title: Go Developer Survey 2024 H1 Results
+date: 2024-4-09
+by:
+- Alice Merrick
+- Todd Kulesza
+tags:
+- survey
+- community
+- developer experience research
+summary: What we learned from our 2024 H1 developer survey
+---
+
+<style type="text/css" scoped>
+ .chart {
+ margin-left: 1.5rem;
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+ color: var(--color-text-subtle) !important;
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+
+## Background
+
+This post shares the results of our most recent Go Developer Survey, conducted
+in January and February 2024. Along with capturing sentiments and challenges
+around using Go and Go tooling, our primary focus areas for this survey were
+about how developers are starting to use Go (or other languages) for
+AI-related use cases, and particular challenges for those who are learning Go
+or looking to expand their Go skill set.
+
+We recruited participants from the Go blog and through randomized prompts in
+the VS Code Go plug-in. This year, with the help of
+[JetBrains](https://jetbrains.com), we also included a randomized survey prompt in the
+[GoLand IDE](https://jetbrains.com/go/), allowing us to recruit a more
+representative sample of Go developers. We received a total of 6,224
+responses! A huge thank you to all those who contributed to making this
+possible.
+
+## Highlights {#tldr}
+
+* Developer sentiment remains high, with 93% of respondents expressing
+ satisfaction with Go over the past year.
+* A majority of respondents (80%) said they trust the Go team to "do what's
+ best" for developers like themselves when maintaining and evolving the
+ language.
+* Among survey respondents who build AI-powered applications and services,
+ there is a shared sense that Go is a strong platform for running these types
+ of applications in production. For example, a majority of respondents
+ working with AI-powered applications already use Go or would like to migrate
+ to Go for their AI-powered workloads, and the most serious challenges
+ developers encounter are related to the library and documentation ecosystems
+ rather than the core language and runtime. That said, the most commonly
+ documented paths for getting started are currently Python-centric, resulting
+ in many organizations starting AI-powered work in Python before moving to a
+ more production-ready language.
+* The most common kinds of AI-powered services respondents are building
+ include summarization tools, text generation tools, and chatbots. Responses
+ suggest that many of these use cases are internal-facing, such as chatbots
+ trained upon an organization's internal documentation and intended to answer
+ employee questions. We hypothesize that organizations are intentionally
+ starting with internal use cases to develop in-house expertise with LLMs
+ while avoiding potential public embarrassment when AI-powered agents behave
+ unexpectedly.
+* Lack of time or opportunities was the most commonly cited challenge for
+ respondents to reaching their Go-related learning goals, suggesting that
+ language learning is difficult to prioritize without a specific goal or
+ business case in mind. The next most common challenge was in learning new
+ best practices, concepts, and idioms that are particular to Go when coming
+ from other language ecosystems.
+
+## Contents
+
+- <a href="#sentiment">Developer sentiment</a>
+- <a href="#devenv">Developer environments</a>
+- <a href="#priorities">Resource and performance priorities</a>
+- <a href="#mlai">Understanding AI use cases for Go</a>
+- <a href="#learn">Learning challenges</a>
+- <a href="#demographics">Demographics</a>
+- <a href="#firmographics">Firmographics</a>
+- <a href="#methodology">Methodology</a>
+- <a href="#closing">Closing</a>
+
+## Developer sentiment {#sentiment}
+
+Overall satisfaction remains high in the survey with 93% of respondents saying
+they were somewhat or very satisfied with Go during the last year. This isn't
+surprising, considering our audience is those who have voluntarily taken our
+survey. But even among those who were randomly sampled from both VS Code and
+GoLand, we still see comparable rates of satisfaction (92%). Although the
+exact percentages fluctuate slightly from survey to survey, we do not see any
+statistically significant differences from [2023
+H2](/blog/survey2023-h2-results), when the satisfaction rate was
+90%.
+
+<img src="survey2024h1/csat.svg" alt="Chart of developer satisfaction with Go"
+class="chart" />
+
+### Trust {#trust}
+
+This year we introduced a new metric for measuring developer trust. This was
+an experimental question and its wording may change over time as we learn more
+about how respondents interpreted it. Because this is the first time we asked
+this question, we don't have previous years to give us context for our
+results. We found that 80% of respondents somewhat or strongly agree that they
+trust the Go team to do what's best for users like them. Respondents with 5 or
+more years of experience with Go tended to agree more (83%) than those with
+less than 2 years of experience (77%). This could reflect [survivorship
+bias](https://en.wikipedia.org/wiki/Survivorship_bias) in that those who trust
+the Go team more are more likely to continue using Go, or may reflect how
+trust is calibrated over time.
+
+<img src="survey2024h1/trust_go.svg" alt="Chart of developer trust with the Go
+team" class="chart" />
+
+### Community satisfaction {#community}
+
+In the last year, almost a third of respondents (32%) said they participated
+in the Go developer community either online or at in-person events. More
+experienced Go developers were more likely to have participated in a community
+event and were more satisfied with community events overall. Although we can't
+draw causal conclusions from this data, we did see a positive correlation
+between community satisfaction and overall satisfaction with Go. It could be
+that participating in the Go community increases satisfaction through
+increased social interaction or technical support. In general, we also found
+that respondents with less experience were less likely to have participated in
+events in the last year. This may mean they haven't discovered events or found
+opportunities yet to be involved.
+
+<img src="survey2024h1/community_events.svg" alt="Chart of participation in
+community events" class="chart" /> <img src="survey2024h1/community_sat.svg"
+alt="Chart of community satisfaction" class="chart" />
+
+### Biggest challenges {#biggestchallenge}
+
+For several years, this survey has asked participants about their biggest
+challenge when using Go. This has always been in the form of an open text box
+and has elicited a wide variety of responses. In this cycle we introduced a
+closed form of the question, where we provided the most common write-in
+responses from prior years. Respondents were randomly shown either the open or
+closed forms of the question. The closed form helps us validate how we've
+historically interpreted these responses, while also increasing the number of
+Go developers we hear from: this year participants who saw the closed form
+were 2.5x more likely to answer than those who saw the open form. This higher
+number of responses narrows our margin of error and increases our confidence
+when interpreting survey results.
+
+In the closed-form, only 8% of respondents selected "Other", which suggests we
+captured the majority of common challenges with our response choices.
+Interestingly, 13% of respondents said they don't face any challenges using
+Go. In the open text version of this question, only 2% of respondents gave
+this response. The top responses in the closed-form were learning how to write
+Go effectively (15%) and the verbosity of error handling (13%). This matches
+what we saw in the open-text form, where 11% of responses mentioned learning
+Go, learning best practices, or issues with documentation as their biggest
+challenge, and another 11% mentioned error handling.
+
+<img src="survey2024h1/biggest_challenge_closed.svg" alt="Chart of closed form
+biggest challenges using Go" class="chart" /> <img
+src="survey2024h1/text_biggest_challenge.svg" alt="Chart of open text biggest
+challenges using Go" class="chart" />
+
+Respondents who saw the closed form of the question also received a follow-up
+open-text question to give them an opportunity to tell us more about their
+biggest challenge in case they had wanted to provide more nuanced answers,
+additional challenges, or anything else they felt was important.The most
+common response mentioned Go's type system, and often asked specifically for
+enums, option types, or sum types in Go. Often we did not get much context for
+these requests, but we suspect this is due to some recent proposals and
+community discussions related to enums, an increase in folks coming from other
+language ecosystems where these features are common, or the expectation that
+these features will reduce writing boilerplate code. One of the more
+comprehensive comments related to the type system explained as follows:
+
+> "These aren't big challenges, but more conveniences I miss in the language.
+> There's ways around all of them, but it would be nice not to have to think
+> about it.
+
+> Sum types/closed enums can be emulated but its a lot of faff. It's a very
+> handy feature to have when interacting with APIs that only have a limited
+> set of values for a particular element/field in a response and a value
+> outside of it is an error. It helps with validation and catching issues at
+> the point of entry and can often directly be generated from API
+> specifications like JSON Schema, OpenAPI or heaven forbid XML Schema
+> Definitions.
+
+> I don't mind the error checking verbosity at all, but the nil-checking with
+> pointers gets tedious especially when [I] need to drill into a deeply nested
+> struct of pointer fields. Some form of Optional/Result type or an ability to
+> chase through a chain of pointers and simply get a nil back instead of
+> triggering a runtime panic would be appreciated."
+
+<img src="survey2024h1/text_biggest_challenge_anything.svg" alt="Chart of
+anything else related to biggest challenges using Go" class="chart" />
+
+## Developer environments {#devenv}
+As in previous years, most survey respondents develop with Go on Linux (61%)
+and macOS (58%) systems. Although the numbers haven't changed much from year
+to year, we did see some interesting differences in our self-selected sample.
+The randomly sampled groups from JetBrains and VS Code were more likely (31%
+and 33%, respectively) to develop on Windows than the self-selected group
+(19%). We don't know exactly why the self-selected group is so different, but
+we hypothesize that, because they likely encountered the survey from reading
+the Go Blog, these respondents are some of the most engaged and experienced
+developers in the community. Their operating system preferences might be
+reflective of historical priorities of the core development team who typically
+developed on Linux and macOS. Thankfully we have the random samples from
+JetBrains and VS Code to provide a more representative view of developer
+preferences.
+
+<img src="survey2024h1/os_dev.svg" alt="Chart of operating systems respondents
+use when developing Go software" class="chart" /> <img
+src="survey2024h1/os_dev_src.svg" alt="Chart of operating systems respondents
+use when developing Go software, split by difference sample sources"
+class="chart" /> <img src="survey2024h1/os_dev_exp.svg" alt="Chart of
+operating systems respondents use when developing Go software, split by
+duration of experience" class="chart" />
+
+As a followup for the 17% of respondents who develop on WSL, we asked which
+version they're using. 93% of respondents who develop on WSL are using version
+2, so going forward, [the Go team at Microsoft has decided to focus their
+efforts on WSL2.](/issue/63503)
+
+<img src="survey2024h1/wsl_version.svg" alt="Chart of WSL versions usage"
+class="chart" />
+
+Given that two of our sample populations were recruited from within VS Code or
+GoLand, they are strongly biased towards preferring those editors. To avoid
+skewing the results, we show the data here from the self-selected group only.
+Similar to previous years, the most common code editors among Go Developer
+Survey respondents continue to be [VS Code](https://code.visualstudio.com/)
+(43%) and [GoLand](https://www.jetbrains.com/go/) (33%). We don't see any
+statistically significant differences from mid-2023, (44% and 31%,
+respectively).
+
+<img src="survey2024h1/editor.svg" alt="Chart of code editors respondents
+prefer to use with Go" class="chart" />
+
+With the prevalence of Go for cloud development and containerized workloads,
+it's no surprise that Go developers primarily deploy to Linux environments
+(93%). We didn't see any significant changes from last year.
+
+<img src="survey2024h1/os_deploy.svg" alt="Chart of platforms respondents
+deploy Go software to" class="chart" />
+
+Go is a popular language for modern cloud-based development, so we typically
+include survey questions to help us understand which cloud platforms Go
+developers are using and how satisfied they are with the three most popular
+platforms: Amazon Web Services (AWS), Microsoft Azure, and Google Cloud. This
+section was only shown to respondents who said they use Go for their primary
+job, about 76% of total respondents. 98% of those who saw this question work
+on Go software that integrates with cloud services. Over half of respondents
+used AWS (52%), while 27% used GCP for their Go development and deployments.
+For both AWS and Google Cloud, we don't see any differences between small or
+large companies in their likelihood to use either provider. Microsoft Azure is
+the only cloud provider that is significantly more likely to be used in large
+organizations (companies with > 1,000 employees) than smaller shops. We didn't
+see any significant differences in usage based on the size of the organization
+for any other cloud providers.
+
+The rates of satisfaction for using Go with AWS and Google Cloud were both
+77%. Historically these rates have been about the same. As in previous years,
+the satisfaction rate for Microsoft Azure was lower (57%).
+
+<img src="survey2024h1/cloud_platform.svg" alt="Chart of cloud platforms
+respondents" class="chart" /> <img src="survey2024h1/cloud_sat_aws.svg"
+alt="Chart of satisfaction with Go on AWS in the last year" class="chart" />
+<img src="survey2024h1/cloud_sat_gcp.svg" alt="Chart of satisfaction with
+using Go on Google Cloud in the last year" class="chart" /> <img
+src="survey2024h1/cloud_sat_azure.svg" alt="Chart of satisfaction with using
+Go on Microsoft Azure in the last year" class="chart" />
+
+## Resource and Security Priorities {#priorities}
+
+To help prioritize the Go team's work, we wanted to understand the top
+resource cost and security concerns for teams using Go. About half of
+respondents using Go at work reported having at least one resource cost
+concern in the last year (52%). The engineering costs of writing and maintaining Go
+services was more common (28%) than concern for the costs of running Go
+services (10%) or both about equally (12%). We didn't see any significant
+differences in resource concerns between small and large organizations. To
+address concerns about resource costs, the Go team is continuing to optimize
+Go and enhance profile-guided optimization (PGO).
+
+<img src="survey2024h1/cost_concern.svg" alt="Chart of cost concerns respondents have had related to their Go usage in the last year" class="chart" />
+
+As for security priorities, we asked respondents to tell us up to three of
+their top concerns. Of those who did have security concerns, overall, the top
+concern was insecure coding practices (42%), followed by system
+misconfiguration (29%). Our main takeaway is that respondents are especially
+interested in tooling to help find and fix potential security issues while
+they're writing code. This aligns with what we've learned from prior research
+into how developers find and address security vulnerabilities.
+
+<img src="survey2024h1/security_concern.svg" alt="Chart of cost concerns
+respondents have had related Go usage in the last year" class="chart" />
+
+### Performance Tooling {#perf}
+
+Our goals for this section were to measure how respondents perceive the ease
+or difficulty of diagnosing performance issues and determine whether this task
+is more or less difficult depending on their editor or IDE usage.
+Specifically, we wanted to know if it's more difficult to diagnose performance
+issues from the command line, and if we should invest in improving the
+integration of performance diagnostic tooling within VS Code to make this task
+easier. In our analyses, we show comparisons between respondents who prefer VS
+Code or GoLand to highlight what we learned about the experience of using VS
+Code compared to another common editor.
+
+We first asked a general question about different kinds of tools and
+techniques respondents use with Go to have some points of comparison. We found
+that only 40% of respondents use tools to improve code performance or
+efficiency. We didn't see any significant differences based on editor or IDE
+preference, that is, VS Code users and GoLand users were about equally likely
+to use tools to improve code performance or efficiency.
+
+<img src="survey2024h1/dev_techniques.svg" alt="Chart of different techniques
+used for security, quality and performance" class="chart" />
+
+Most respondents (73%) told us that identifying and addressing performance
+issues is at least moderately important. Again, we didn't see any significant
+differences here between GoLand and VS Code users in how important they found
+diagnosing performance issues.
+
+<img src="survey2024h1/perf_importance.svg" alt="Chart of the importance of
+identifying and addressing performance issues " class="chart" />
+
+Overall, respondents did not find diagnosing performance issues easy, with 30%
+reporting it was somewhat or very difficult and 46% saying it was neither easy
+nor difficult. Contrary to our hypothesis, VS Code users were not more likely
+to report challenges when diagnosing performance issues vs. other respondents.
+Those using their command line for diagnosing performance issues, regardless
+of their preferred editor, also did not report this task as more challenging
+than those using their IDE. Years of experience was the only significant
+factor we observed, where less experienced Go developers found it overall more
+difficult to diagnose performance issues than more experienced Go developers.
+
+<img src="survey2024h1/perf_easiness.svg" alt="Chart of how easy or difficult
+respondents found diagnosing performance issues " class="chart" /> <img
+src="survey2024h1/perf_easiness_exp.svg" alt="Chart of how easy or difficult
+respondents found diagnosing performance issues split by duration of
+experience" class="chart" /> <img src="survey2024h1/perf_easiness_where.svg"
+alt="Chart of how easy or difficult respondents found diagnosing performance
+issues split by where they use performance diagnostic tools " class="chart" />
+
+To answer our original question, most developers found it difficult to
+diagnose performance issues in Go, regardless of their preferred editor or
+tooling. This was especially true for developers with less than two years of
+experience in Go.
+
+We also included a follow-up for respondents who rated diagnosing performance
+issues as at least slightly important to understand which issues were most
+important to them. Latency, total memory, and total CPU were the top concerns.
+There could be several explanations to the significance of these areas. First,
+they are measurable and easily convertible into business costs. Secondly,
+total memory and CPU usage represent physical constraints that necessitate
+hardware upgrades or software optimizations for improvement. Moreover,
+latency, total memory, and total CPU are more manageable by developers and can
+impact even straightforward services. In contrast, GC performance and memory
+allocation may only be relevant in rare cases or for exceptionally heavy
+workloads. Additionally, latency stands out as the most user-visible metric,
+as high latency results in slow services and dissatisfied users.
+
+<img src="survey2024h1/perf_concerns.svg" alt="Chart of which performance
+issues are the highest concern to respondents" class="chart" />
+
+## Understanding AI use cases for Go {#mlai}
+
+Our [previous survey](/blog/survey2023-h2-results#mlai) asked Go
+developers about their early experiences with generative AI systems. To go a
+bit deeper this cycle, we asked several AI-related questions to understand how
+respondents are building AI-powered (more specifically, LLM-powered) services.
+We found that half of survey respondents (50%) work at organizations that are
+building or exploring AI-powered services. Of these, just over half (56%) said
+they were involved with adding AI capabilities to their organization's
+services. Our remaining AI-related questions were only shown to this slice of
+respondents.
+
+Please be cautious about generalizing these participant responses to the
+overall population of Go developers. Because only about ¼ of survey
+respondents are working with AI-powered services, we suggest using this data
+to understand the early adopters in this space, with the caveat that early
+adopters tend to be a bit different than the majority of people who will
+eventually adopt a technology. As an example, we expect that this audience is
+experimenting with more models and SDKs than may be the case a year or two
+from now, and encountering more challenges related to integrating those
+services into their existing code base.
+
+<img src="survey2024h1/ai_org.svg" alt="Chart of respondents whose org is
+currently building or exploring ML/AI based services" class="chart" /> <img
+src="survey2024h1/ai_involved.svg" alt="Chart of respondents who are currently
+involved in their orgs AI based development" class="chart" />
+
+Among the audience of Go developers working professionally with generative AI
+(GenAI) systems, a solid majority (81%) reported using OpenAI's ChatGPT or
+DALL-E models. A collection of open-source models also saw high adoption, with
+a majority of respondents (53%) using at least one of Llama, Mistral, or
+another OSS model. We see some early evidence that larger organizations
+(1,000+ employees) are a bit less likely to be using OpenAI models (74% vs.
+83%) and a bit more likely to be using other proprietary models (22% vs. 11%).
+We do not, however, see any evidence of differences in adoption of OSS models
+based on organization size–both smaller companies and larger enterprises show
+small majorities adopting OSS models (51% and 53%, respectively). Overall we
+found that a plurality of respondents prefer to use open-source models (47%)
+with only 19% preferring proprietary models; 37% said they had no preference.
+
+<img src="survey2024h1/generative_models.svg" alt="Chart of which generative
+AI models respondents' orgs are using" class="chart" /> <img
+src="survey2024h1/ai_libs.svg" alt="Chart of which AI related services and
+libraries respondents' orgs are using" class="chart" />
+
+The most common kinds of services respondents are building include
+summarization tools (56%), text generation tools (55%), and chatbots (46%).
+Open-text responses suggested that many of these use cases are
+internal-facing, such as chat bots trained upon an organization's internal
+documentation and intended to answer employee questions. Respondents raised
+several concerns about external-facing AI features, most notably due to
+reliability (e.g., do slight changes in my question lead to very different
+results?) and accuracy (e.g., are the results trustworthy?) issues. An
+interesting theme running through these responses was a sense of tension
+between the risk of not adopting AI tooling at all (and thereby losing a
+potential competitive advantage should generative AI become necessary in the
+future), balanced against the risk of negative publicity or violating
+regulations/laws by using untested AI in high-criticality customer-facing
+domains.
+
+We found evidence that Go is already being used in the GenAI space, and there
+appears to be an appetite for more. Roughly ⅓ of respondents who were building
+AI-powered features told us they were already using Go for a variety of GenAI
+tasks, including prototyping new features and integrating services with LLMs.
+These proportions tick up slightly for two areas where we believe Go is a
+particularly well-suited tool: data pipelines for ML/AI systems (37%) and
+hosting API endpoints for ML/AI models (41%). In addition to these (likely
+early) adopters, we found that about ¼ of respondents _want_ to use Go for
+these types of uses, but are currently blocked by something. We'll return to
+these blockers shortly, after exploring why respondents wanted to use Go for
+these tasks in the first place.
+
+<img src="survey2024h1/ai_apps.svg" alt="Chart of the kinds of Generative AI
+apps respondents work on" class="chart" /> <img
+src="survey2024h1/ai_uses_interest.svg" alt="Chart of the kinds of AI apps
+respondents' orgs are currently working on or considering" class="chart" />
+
+### Reasons for using Go with generative AI systems
+
+To help us understand what benefits developers hope to derive from using Go in
+their AI/ML services, we asked developers why they feel Go is a good choice
+for this domain. A clear majority (61%) of respondents mentioned one or more
+of Go's core principles or features, such as simplicity, runtime safety,
+concurrency, or single-binary deployments. One third of respondents cited
+existing familiarity with Go, including a desire to avoid introducing new
+languages if they can avoid it. Rounding out the most common responses were
+various challenges with Python (particularly for running production services)
+at 14%.
+
+> "I think that the robustness, simplicity, performance and native binaries
+> that the language offers make it a far stronger choice for AI workloads."
+> <span class="quote_source">--- Open-source Go developer at a large
+> organization with up to 1 year of experience</span>
+
+> "We want to keep our tech stack as homogenous as possible across the
+> organization to make it easier for everybody to develop on all areas. Since
+> we are already writing all our backends in Go, it is of interest to us to be
+> able to write ML model deployments in Go and avoid having to rewrite parts
+> of the stack for logging, monitoring, etc... in a separate language [like]
+> Python." <span class="quote_source">--- Professional Go developer at a
+> mid-sized organization with 5 – 7 years of experience</span>
+
+> "Go is better for us at running API servers and background tasks on worker
+> pools. Go's lower resource usage has allowed us to grow without using more
+> resources. And we have found that Go projects are easier to maintain over
+> time both in code changes and when updating dependencies. We run the models
+> as a separate service written in Python and interact with them in Go."
+> <span class="quote_source">--- Professional Go developer at a large
+> organization with 5 – 7 years of experience</span>
+
+It appears that among Go developers who are interested in ML/AI, there is a
+shared sense that 1) Go is inherently a good language for this domain (for the
+reasons articulated above), and 2) there is reluctance to introduce a new
+language once organizations have already invested in Go (this point reasonably
+generalizes to any language). Some respondents also expressed frustration with
+Python for reasons such as type safety, code quality, and challenging
+deployments.
+
+<img src="survey2024h1/text_ml_interest.svg" alt="Chart of respondents'
+reasons for why Go is a good choice for their AI related use case"
+class="chart" />
+
+### Challenges when using Go with GenAI systems
+
+Respondents were largely unified on what currently prevents them from using Go
+with AI-powered services: the ecosystem is centered around Python, their
+favorite libraries/frameworks are all in Python, getting started documentation
+assumes Python familiarity, and the data scientists or researchers exploring
+these models are already familiar with Python.
+
+> "Python just seems to have all the libraries. PyTorch for example is widely
+> used to run models. If there were frameworks in Go to run these models, we'd
+> much rather be doing that." <span class="quote_source">--- Professional Go
+> developer at a large organization with 2 – 4 years of experience</space>
+
+> "Python tools are substantially more mature and usable out of the box,
+> making them a significantly lower cost to implement."
+> <span class="quote_source">--- Professional Go developer at a small
+> organization with 2 – 4 years of experience</span>
+
+> "[The] Go world is missing many AI libraries. If I have a LLM PyTorch model,
+> I can't even serve it (or I'm unaware how to do it). With Python it's
+> basically a few lines of code." <span class="quote_source">--- Professional
+> Go developer at a small organization with up to 1 year of experience</span>
+
+These findings triangulate well with our observation above that Go developers
+believe Go _should_ be a great language for building production-ready AI
+services: only 3% of respondents said that something specific to Go was
+blocking their path forward, and only 2% cited specific interoperability
+challenges with Python. In other words, most blockers developers face could be
+resolved in the module and documentation ecosystem, rather than necessitating
+core language or runtime changes.
+
+<img src="survey2024h1/text_ml_blockers.svg" alt="Chart of what is blocking
+respondents from using Go with their AI powered apps" class="chart" />
+
+We also asked survey participants whether they were already working with
+Python for GenAI, and if so, whether they'd prefer to use Go. Respondents who
+said they'd prefer to use Go rather than Python also received a follow-up
+about what would enable them to use Go with GenAI systems.
+
+A solid majority (62%) of respondents reported already using Python to
+integrate with generative AI models; of this group, 57% would rather use Go
+instead. Given that our survey audience are all Go developers, we should
+expect this to be an approximate upper bound on the proportion of overall
+developers who are interested in moving from Python to Go for GenAI tasks,
+given the state of each ecosystem today.
+
+Of the respondents who are already using Python but would prefer to use Go,
+the vast majority (92%) said that the availability of Go equivalents for
+Python libraries would enable them to integrate Go with GenAI systems.
+However, we should be cautious when interpreting this result; the open-text
+responses and a separate set of contextual interviews with developers working
+on GenAI services describe a Python-centric ecosystem around GenAI; it's not
+only that Go lacks many libraries when compared with the Python ecosystem, but
+also that the perceived level of investment into Go libraries is lower,
+documentation and examples are predominantly in Python, and the network of
+experts working in this area are already comfortable with Python.
+Experimenting and building proofs-of-concept in Python is almost certain to
+continue, and the lack of Go variants of Python libraries (for example,
+[pandas](https://pandas.pydata.org/)) is only the first barrier developers
+would encounter when trying to port from Python to Go. Libraries and SDKs are
+necessary, but unlikely by themselves to be sufficient, to build a robust Go
+ecosystem for production ML/AI applications.
+
+Further, contextual interviews with Go developers building AI-powered services
+suggest that _calling_ APIs from Go is not a major issue, particularly with
+hosted models such as [GPT-4](https://openai.com/gpt-4) or
+[Gemini](https://gemini.google.com/). Building, evaluating, and hosting custom
+models is seen as challenging in Go (primarily due to the lack of frameworks
+and libraries that support this in Python), but interview participants
+distinguished between hobbyist use cases (e.g., playing around with custom
+models at home) and business use cases. The hobbyist cases are dominated by
+Python for all of the reasons enumerated above, but the business use cases are
+more focused around reliability, accuracy, and performance while calling
+hosted models. This is an area where Go can shine _without_ building a large
+ecosystem of ML/AI/data science libraries, though we expect developers will
+still benefit from documentation, best practice guidance, and examples.
+
+Because the field of GenAI is so novel, best practices are still being
+identified and tested. Initial contextual interviews with developers have
+suggested that one of their goals is to be prepared for a future in which
+GenAI becomes a competitive advantage; by making some investment in this area
+now, they hope to moderate future risk. They're also still trying to
+understand what GenAI systems might be helpful for and what the return on
+investment (if any) may look like. Due to these unknowns, our early data
+suggests that organizations (especially outside the tech industry) may be
+hesitant to make long-term commitments here, and will instead pursue a lean or
+scrappy approach until either a reliable use case with clear benefits emerges,
+or their industry peers begin to make large, public investments in this space.
+
+<img src="survey2024h1/python_usage.svg" alt="Chart showing high usage of
+Python to integrate with gen AI models" class="chart" /> <img
+src="survey2024h1/go_python_pref.svg" alt="Chart showing preference to use Go
+rather than Python to integrate with gen AI models" class="chart" /> <img
+src="survey2024h1/enable_go.svg" alt="Chart of what would enable respondents
+to use Go where they are currently using Python" class="chart" /> <img
+src="survey2024h1/text_ml_challenge.svg" alt="Chart of biggest challenges for
+respondents integrating backend services with gen AI models" class="chart" />
+
+## Learning challenges {#learn}
+
+In order to improve the experience of learning Go, we wanted to hear from
+inexperienced Go developers, as well as those who might have already mastered
+the basics on what they see as their biggest challenge to meeting their
+learning goals. We also wanted to hear from developers who might primarily be
+focused on helping others get started with Go rather than their own learning
+goals, since they might have some insights on common challenges they see when
+onboarding developers.
+
+Only 3% of respondents said that they were currently learning the basics of
+Go. This isn't too surprising, considering most of our survey respondents
+have at least a year of experience with Go. Meanwhile, 40% of respondents said
+that they have already learned the basics but want to learn more advanced
+topics and another 40% said that they help other developers learn Go. Only 15%
+said they didn't have any learning goals related to Go.
+
+<img src="survey2024h1/learning_goal.svg" alt="Chart of respondents' learning
+goals for Go" class="chart" />
+
+When we looked at more finely grained time segments of Go experience, we found
+that 30% of those who've been using Go for less than three months say they're
+learning the basics of Go, while about two-thirds of them say that they've
+already learned the basics. That's good evidence that someone can at least
+feel like they've learned the basics of Go in a short amount of time, but it
+also means we don't have as much feedback from this group who are at the
+beginning of their learning journey.
+
+<img src="survey2024h1/learning_goal_go_exp.svg" alt="Chart of respondents'
+learning goals for Go split by finer units of time" class="chart" />
+
+To determine what kinds of learning materials might be most needed in the
+community, we asked what kind of learning content respondents preferred for
+topics related to software development. They were able to select multiple
+options so the numbers here exceed 100%. 87% of respondents said they
+preferred written content, which was by far the most preferred format. 52%
+said they preferred video content, and in particular this format was more
+often preferred by developers with less experience. This could indicate a
+growing desire for learning content in video format. The less experienced
+demographic did not prefer written content any less than other groups,
+however. [Providing both written and video formats together has been shown to
+improve learning
+outcomes](https://www.sciencedirect.com/science/article/abs/pii/S0360131514001353)
+and [helps developers with different learning preferences and
+abilities](https://udlguidelines.cast.org/representation/perception), which
+could increase the accessibility of learning content in the Go community.
+
+<img src="survey2024h1/learning_content_exp.svg" alt="Chart of respondents'
+preferred formats for learning content, split by years of Go experience"
+class="chart" />
+
+We asked respondents who said they had a learning goal related to Go what
+their biggest challenge was to reaching their goal. This was intentionally
+left broad enough that someone who was just getting started or who had already
+mastered the basics could respond to this question. We also wanted to give
+respondents the opportunity to tell us about a wide range of challenges, not
+just topics they find difficult.
+
+Overwhelmingly, the most common challenge mentioned was a lack of time or
+other personal limitations such as focus or motivation to learn or (44%).
+Although we can't give respondents more time, we should be mindful when we're
+producing learning materials or introducing changes in the ecosystem that
+users may be operating under significant time constraints. There may also be
+opportunities for educators to produce resources that are [digestible in
+smaller portions](https://web.cortland.edu/frieda/id/IDtheories/26.html) or
+[at a regular
+cadence](https://psychology.ucsd.edu/undergraduate-program/undergraduate-resources/academic-writing-resources/effective-studying/spaced-practice.html#:~:text=This%20is%20known%20as%20spaced,information%20and%20retain%20it%20longer.)
+to keep learners motivated.
+
+Other than time, the top challenge was learning new concepts, idioms or best
+practices that are unique to Go (11%). In particular, adapting to a statically
+typed compiled language from Python or JavaScript and learning how to organize
+Go code can be particularly challenging. Respondents also asked for more
+examples (6%), both in documentation and real world applications to learn
+from. Developers coming from a larger developer community expected to be able
+to find more existing solutions and examples.
+
+> "Moving from a language like Python to a statically typed, compiled language
+> has been challenging, but Go itself hasn't been. I like to learn through
+> quick feedback, so Python's REPL was great for that. So now I need to focus
+> on really reading documentation and examples to be able to learn. Some of
+> the documentation for Go is quite sparse and could do with more examples."
+> <span class="quote_source">--- Respondent with less than 3 years of
+> experience with Go.</span>
+
+> "My main challenge is the lack of example projects for enterprise-level
+> applications. How to organize a big Go project is something I would like to
+> have more examples as reference. I would like to refactor the current
+> project I am working [on] to a more modular/clean architecture style, and I
+> find it difficult in Go due to lack of examples / a more opinionated
+> ‘folder/package' reference." <span class="quote_source">--- Respondent with
+> 1–2 years of experience with Go.</span>
+
+> "It's a smaller ecosystem than I am used to so online searches don't yield
+> as many results to specific issues. The resources that are out there are
+> incredibly helpful and I usually am able to solve issues eventually, it just
+> takes a little longer."<span class="quote_source">--- Respondent with less
+> than 3 months of experience with Go.</span>
+
+<img src="survey2024h1/text_learning_challenge.svg" alt="Chart of biggest
+challenges to reaching respondents' learning goals" class="chart" />
+
+For respondents whose primary learning goal was to help others get started
+with Go, we asked what might make it easier for developers to get started with
+Go. We got a wide range of responses including documentation suggestions,
+comments on difficult topics (e.g., using pointers or concurrency), as well as
+requests for adding more familiar features from other languages. For
+categories that made up less than 2% of responses, we lumped them into "Other"
+responses. Interestingly, nobody mentioned "more time." We think this is
+because lack of time or motivation is most often a challenge when there isn't
+an immediate necessity to learn something new related to Go. For those helping
+others get started with Go, there may be a business reason for doing so,
+making it easier to prioritize, and hence "lack of time" is not as much of a
+challenge.
+
+Consistent with the previous results, 16% of those who help others get started
+with Go told us that new Go developers would benefit from having more
+realistic examples or project-based exercises to learn from. They also saw the
+need to help developers coming from other language ecosystems through
+comparisons between them. [Previous research tells us that experience with one
+programming language can interfere with learning a new
+one](https://dl.acm.org/doi/abs/10.1145/3377811.3380352), especially when new
+concepts and tooling are different from what developers are used to. There are
+existing resources that aim to address this issue (just try searching for
+"Golang for [language] developers" for examples), but it could be difficult
+for new Go developers to search for concepts they don't have the vocabulary
+for yet or these kinds of resources might not adequately address specific
+tasks. In the future we would like to learn more about how and when to present
+language comparisons to facilitate learning new concepts.
+
+A related need that this group reported was more explanations behind Go's
+philosophy and best practices. It could be the case that learning not only
+_what_ makes Go different but also _why_ would help new Go developers
+understand new concepts or ways of doing tasks that might be different from
+their previous experience.
+
+<img src="survey2024h1/text_onboard_others.svg" alt="Chart of ideas from
+respondents who help others get started with Go" class="chart" />
+
+## Demographics {#demographics}
+
+We ask similar demographic questions during each cycle of this survey so we
+can understand how comparable the year-over-year results may be. For example,
+if a majority of respondents reported having less than one year of experience
+with Go in one survey cycle, it'd be very likely that any other differences in
+results from prior cycles stem from this major demographic shift. We also use
+these questions to provide comparisons between groups, such as satisfaction
+according to how long respondents have been using Go.
+
+This year we introduced some minor changes to how we ask about experience with
+Go to match the JetBrains developer survey. This allowed us to make
+comparisons between our survey populations and facilitated data analysis.
+
+<img src="survey2024h1/go_exp.svg" alt="Chart of how long respondents have
+been working with Go" class="chart" />
+
+We saw some differences in experience level depending on how developers
+discovered our survey. The population who responded to survey notifications in
+VS Code skewed toward less experience with Go; we suspect this a reflection of
+VS Code's popularity with new Go developers, who may not be ready to invest in
+an IDE license while they're still learning. With respect to years of Go
+experience, the respondents randomly selected from GoLand are more similar to
+our self-selected population who found the survey through the Go Blog. Seeing
+consistencies between samples such as these allows us to more confidently
+generalize findings to the rest of the community.
+
+<img src="survey2024h1/go_exp_src.svg" alt="Chart of how long respondents have
+been working with Go, split by different sample sources" class="chart" />
+
+In addition to years of experience with Go, this year we also measured years
+of professional coding experience. We were surprised to find that 26% of
+respondents have 16 or more years of professional coding experience. For
+comparison, the [JetBrains Developer Survey
+audience](https://www.jetbrains.com/lp/devecosystem-2023/demographics/#code_yrs)
+from 2023 had a majority of respondents with 3–5 years of professional
+experience. Having a more experienced demographic could affect differences in
+responses. For example, we saw significant differences in what kinds of
+learning content respondents with different levels of experience preferred.
+
+<img src="survey2024h1/dev_exp.svg" alt="Chart of respondents' years of
+professional developer experience" class="chart" />
+
+When we looked at our different samples, the self-selected group was even more
+experienced than the randomly selected groups, with 29% having 16 or more
+years of professional experience. This suggests that our self-selected group
+is generally more experienced than our randomly selected groups and can help
+explain some of the differences we see in this group.
+
+<img src="survey2024h1/dev_exp_src.svg" alt="Chart of respondents' years of
+professional developer experience" class="chart" />
+
+We introduced another demographic question during this cycle on employment
+status to help us make comparisons with [JetBrains' Developer
+Survey](https://www.jetbrains.com/lp/devecosystem-2023/demographics/#employment_status).
+We found that 81% of respondents were fully employed, significantly more than
+63% on the JetBrains survey. We also found significantly fewer students in our
+population (4%) compared to 15% on the JetBrains survey. When we look at our
+individual samples, we see a small but significant difference within our
+respondents from VS Code, who are slightly less likely to be fully employed
+and slightly more likely to be students. This makes sense given that VS Code
+is free.
+
+<img src="survey2024h1/employment.svg" alt="Chart of respondents' employment
+status" class="chart" />
+
+Similar to previous years, the most common use cases for Go were API/RPC
+services (74%) and command line tools (63%). We've heard that Go's built-in
+HTTP server and concurrency primitives, ease of cross-compilation, and
+single-binary deployments make Go a good choice for these kinds of
+applications.
+
+We also looked for differences based on respondents' level of experience with
+Go and organization size. More experienced Go developers reported building a
+wider variety of applications in Go. This trend was consistent across every
+category of app or service. We did not find any notable differences in what
+respondents are building based on their organization size.
+
+<img src="survey2024h1/what.svg" alt="Chart of the types of things respondents
+are building with Go" class="chart" />
+
+## Firmographics {#firmographics}
+
+We heard from respondents at a variety of different organizations. About 27%
+worked at large organizations with 1,000 or more employees, 25% were from
+midsize organizations of 100–1,000 employees, and 43% worked at smaller
+organizations with less than 100 employees. As in previous years, the most
+common industry people work in was technology (48%) while the second most
+common was financial services (13%) .
+
+This is statistically unchanged from the past few Go Developer Surveys—we
+continue to hear from people in different countries and in organizations of
+different sizes and industries at consistent rates year after year.
+
+<img src="survey2024h1/org_size.svg" alt="Chart of the different organization
+sizes where respondents use Go" class="chart" />
+
+<img src="survey2024h1/industry.svg" alt="Chart of the different industries
+where respondents use Go" class="chart" />
+
+<img src="survey2024h1/location.svg" alt="Chart of countries or regions where
+respondents are located" class="chart" />
+
+## Methodology {#methodology}
+
+Prior to 2021, we announced the survey primarily through the Go Blog, where it
+was picked up on various social channels like Twitter, Reddit, or Hacker News.
+In 2021 we introduced a new way to recruit respondents by using the VS Code Go
+plugin to randomly select users to be shown a prompt asking if they'd like to
+participate in the survey. This created a random sample that we used to
+compare the self-selected respondents from our traditional channels and helped
+identify potential effects of [self-selection
+bias](https://en.wikipedia.org/wiki/Self-selection_bias). For this cycle, our
+friends at JetBrains generously provided us with an additional random sample
+by prompting a random subset of GoLand users to take the survey!
+
+64% of survey respondents "self-selected" to take the survey, meaning they
+found it on the Go blog or other social Go channels. People who don't follow
+these channels are less likely to learn about the survey from them, and in
+some cases, they respond differently than people who do closely follow them.
+For example, they might be new to the Go community and not yet aware of the Go
+blog. About 36% of respondents were randomly sampled, meaning they responded
+to the survey after seeing a prompt in VS Code (25%) or GoLand (11%). Over the
+period of January 23 -- February 13, there was roughly a 10% chance that users
+would have seen this prompt. By examining how the randomly sampled groups
+differ from the self-selected responses, as well as from each other, we're
+able to more confidently generalize findings to the larger community of Go
+developers.
+
+<img src="survey2024h1/source.svg" alt="Chart of different sources of survey
+respondents" class="chart" />
+
+### How to read these results
+
+Throughout this report we use charts of survey responses to provide supporting
+evidence for our findings. All of these charts use a similar format. The title
+is the exact question that survey respondents saw. Unless otherwise noted,
+questions were multiple choice and participants could only select a single
+response choice; each chart's subtitle will tell the reader if the question
+allowed multiple response choices or was an open-ended text box instead of a
+multiple choice question. For charts of open-ended text responses, a Go team
+member read and manually categorized all of the responses. Many open-ended
+questions elicited a wide variety of responses; to keep the chart sizes
+reasonable, we condensed them to a maximum of the top 10-12 themes, with
+additional themes all grouped under "Other". The percentage labels shown in
+charts are rounded to the nearest integer (e.g., 1.4% and 0.8% will both be
+displayed as 1%), but the length of each bar and row ordering are based on the
+unrounded values.
+
+To help readers understand the weight of evidence underlying each finding, we
+included error bars showing the 95% [confidence
+interval](https://en.wikipedia.org/wiki/Confidence_interval) for responses;
+narrower bars indicate increased confidence. Sometimes two or more responses
+have overlapping error bars, which means the relative order of those responses
+is not statistically meaningful (i.e., the responses are effectively tied).
+The lower right of each chart shows the number of people whose responses are
+included in the chart, in the form "n = [number of respondents]". In cases
+where we found interesting differences in responses between groups, (e.g.,
+years of experience, organization size, or sample source) we showed a
+color-coded breakdown of the differences.
+
+## Closing {#closing}
+
+And that's it for our semi-annual Go Developer Survey. Many thanks to everyone
+who shared their thoughts on Go and everyone who contributed to making this
+survey happen! It means the world to us and truly helps us improve Go. This
+year we're also excited to announce the forthcoming release of this survey's
+dataset. We expect to share this anonymized data by the end of April, allowing
+anyone to slice and dice survey responses as needed to answer their own
+questions about the Go ecosystem.
+
+--- Alice and Todd (on behalf of the Go team at Google)
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+<text x='274.57' y='326.80' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
+<text x='5.48' y='41.40' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='73.40px' lengthAdjust='spacingAndGlyphs'>(select all that apply)</text>
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+<text x='426.52' y='339.79' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='29.15px' lengthAdjust='spacingAndGlyphs'>n = 751</text>
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diff --git a/_content/blog/survey2024h1/ai_org.svg b/_content/blog/survey2024h1/ai_org.svg
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+<text x='152.85' y='58.52' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='130.77px' lengthAdjust='spacingAndGlyphs'>ML/AI-based services or applications</text>
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+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='357.34px' lengthAdjust='spacingAndGlyphs'>At work, is your organization building or exploring ML/AI-based services or</text>
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+<text x='426.52' y='186.52' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='35.82px' lengthAdjust='spacingAndGlyphs'>n = 5,242</text>
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+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='369.59px' lengthAdjust='spacingAndGlyphs'>During the past year, how satisfied or dissatisfied have you been using Go on</text>
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+<text x='426.52' y='172.75' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='35.82px' lengthAdjust='spacingAndGlyphs'>n = 2,147</text>
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diff --git a/_content/blog/survey2024h1/cloud_sat_azure.svg b/_content/blog/survey2024h1/cloud_sat_azure.svg
new file mode 100644
index 0000000..f2104e1
--- /dev/null
+++ b/_content/blog/survey2024h1/cloud_sat_azure.svg
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+<rect x='22.55' y='84.41' width='19.52' height='37.77' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #AA3355;' />
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+<rect x='287.73' y='50.54' width='12.76' height='12.76' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #44DD88;' />
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+<text x='426.52' y='172.75' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='29.15px' lengthAdjust='spacingAndGlyphs'>n = 522</text>
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diff --git a/_content/blog/survey2024h1/cloud_sat_gcp.svg b/_content/blog/survey2024h1/cloud_sat_gcp.svg
new file mode 100644
index 0000000..9a0e960
--- /dev/null
+++ b/_content/blog/survey2024h1/cloud_sat_gcp.svg
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new file mode 100644
index 0000000..dfc530e
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+<text x='168.79' y='109.41' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>6%</text>
+<text x='161.15' y='127.29' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>3%</text>
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+<g clip-path='url(#cpMC4wMHw0MzIuMDB8MC4wMHwyNTUuMjU=)'>
+<text x='145.70' y='199.01' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.01px' lengthAdjust='spacingAndGlyphs'>Other</text>
+<text x='145.70' y='181.13' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='49.82px' lengthAdjust='spacingAndGlyphs'>None of these</text>
+<text x='145.70' y='163.24' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='88.50px' lengthAdjust='spacingAndGlyphs'>A Women Who Go event</text>
+<text x='145.70' y='145.36' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='63.16px' lengthAdjust='spacingAndGlyphs'>A GoBridge event</text>
+<text x='145.70' y='118.83' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='115.65px' lengthAdjust='spacingAndGlyphs'>A technical conference for its Go</text>
+<text x='145.70' y='127.47' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='128.09px' lengthAdjust='spacingAndGlyphs'>content (e.g., OSCON, Strangeloop,</text>
+<text x='145.70' y='136.11' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='15.57px' lengthAdjust='spacingAndGlyphs'>etc.)</text>
+<text x='145.70' y='109.59' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='124.11px' lengthAdjust='spacingAndGlyphs'>A Go remote meetup / online event</text>
+<text x='145.70' y='87.38' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='109.86px' lengthAdjust='spacingAndGlyphs'>A Go-specific conference (e.g.,</text>
+<text x='145.70' y='96.02' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='87.60px' lengthAdjust='spacingAndGlyphs'>GopherCon, GothamGo)</text>
+<text x='145.70' y='73.82' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='47.15px' lengthAdjust='spacingAndGlyphs'>A Go meetup</text>
+<text x='145.70' y='55.93' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='108.96px' lengthAdjust='spacingAndGlyphs'>Online community or chatroom</text>
+<text x='150.63' y='217.54' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='11.56px' lengthAdjust='spacingAndGlyphs'>0%</text>
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+<text x='390.54' y='217.54' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.46px' lengthAdjust='spacingAndGlyphs'>100%</text>
+<text x='288.58' y='235.01' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
+<text x='5.48' y='30.60' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='73.40px' lengthAdjust='spacingAndGlyphs'>(select all that apply)</text>
+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='376.83px' lengthAdjust='spacingAndGlyphs'>In the last 12 months, have you participated in any Go developer communities?</text>
+<text x='426.52' y='248.00' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='35.82px' lengthAdjust='spacingAndGlyphs'>n = 4,737</text>
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new file mode 100644
index 0000000..1e483dd
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+<polyline points='142.41,114.54 142.41,110.72 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='142.41,112.63 139.81,112.63 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='139.81,114.54 139.81,110.72 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
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+<text x='244.67' y='58.08' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>41%</text>
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+<text x='130.60' y='96.42' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='79.62px' lengthAdjust='spacingAndGlyphs'>Somewhat dissatisfied</text>
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+<text x='135.53' y='134.75' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='11.56px' lengthAdjust='spacingAndGlyphs'>0%</text>
+<text x='262.05' y='134.75' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
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+<text x='227.97' y='65.55' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>28%</text>
+<text x='188.77' y='82.56' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>12%</text>
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+<text x='150.17' y='82.74' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='66.29px' lengthAdjust='spacingAndGlyphs'>Both about equally</text>
+<text x='150.17' y='61.41' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='128.56px' lengthAdjust='spacingAndGlyphs'>The engineering costs of writing and</text>
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+<text x='145.05' y='142.00' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='39.15px' lengthAdjust='spacingAndGlyphs'>experience</text>
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+<text x='270.21' y='155.47' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
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new file mode 100644
index 0000000..5f2aadc
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+<text x='209.72' y='80.65' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>28%</text>
+<text x='184.70' y='94.35' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>18%</text>
+<text x='346.74' y='53.24' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>81%</text>
+<text x='143.46' y='149.16' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>3%</text>
+<text x='170.89' y='121.76' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>13%</text>
+<text x='219.43' y='66.95' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>32%</text>
+</g>
+<g clip-path='url(#cpMC4wMHw0MzIuMDB8MC4wMHwyMDMuMDc=)'>
+<text x='127.47' y='149.34' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.01px' lengthAdjust='spacingAndGlyphs'>Other</text>
+<text x='127.47' y='135.64' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='61.38px' lengthAdjust='spacingAndGlyphs'>Anthropic Claude</text>
+<text x='127.47' y='121.94' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='88.50px' lengthAdjust='spacingAndGlyphs'>Other proprietary models</text>
+<text x='127.47' y='108.23' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='109.86px' lengthAdjust='spacingAndGlyphs'>Google Gemini, Imagen, PaLM</text>
+<text x='127.47' y='94.53' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='63.59px' lengthAdjust='spacingAndGlyphs'>Mistral AI / Mixtral</text>
+<text x='127.47' y='80.83' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='85.84px' lengthAdjust='spacingAndGlyphs'>Meta Llama (and family)</text>
+<text x='127.47' y='67.13' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='94.30px' lengthAdjust='spacingAndGlyphs'>Other open source models</text>
+<text x='127.47' y='53.42' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='102.27px' lengthAdjust='spacingAndGlyphs'>OpenAI ChatGPT or DALL-E</text>
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+<text x='260.28' y='165.36' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
+<text x='388.16' y='165.36' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.46px' lengthAdjust='spacingAndGlyphs'>100%</text>
+<text x='279.46' y='182.83' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
+<text x='5.48' y='30.60' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='73.40px' lengthAdjust='spacingAndGlyphs'>(select all that apply)</text>
+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='343.40px' lengthAdjust='spacingAndGlyphs'>Which of the following generative AI models is your organization using?</text>
+<text x='426.52' y='195.82' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='29.15px' lengthAdjust='spacingAndGlyphs'>n = 685</text>
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diff --git a/_content/blog/survey2024h1/go_exp.svg b/_content/blog/survey2024h1/go_exp.svg
new file mode 100644
index 0000000..bf0c1b7
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+<polyline points='134.38,108.07 134.38,104.52 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
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+<text x='237.67' y='145.29' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
+<text x='382.94' y='145.29' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.46px' lengthAdjust='spacingAndGlyphs'>100%</text>
+<text x='259.46' y='162.76' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
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index 0000000..002c4a4
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diff --git a/_content/blog/survey2024h1/learning_goal.svg b/_content/blog/survey2024h1/learning_goal.svg
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+<g clip-path='url(#cpMC4wMHw0MzIuMDB8MC4wMHwyMTIuNzE=)'>
+<text x='131.94' y='158.10' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='41.56px' lengthAdjust='spacingAndGlyphs'>I'm not sure</text>
+<text x='131.94' y='142.94' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.73px' lengthAdjust='spacingAndGlyphs'>More than 10,000</text>
+<text x='131.94' y='127.78' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='53.40px' lengthAdjust='spacingAndGlyphs'>5,001 – 10,000</text>
+<text x='131.94' y='112.62' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='48.95px' lengthAdjust='spacingAndGlyphs'>1,001 – 5,000</text>
+<text x='131.94' y='97.46' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='42.27px' lengthAdjust='spacingAndGlyphs'>501 – 1,000</text>
+<text x='131.94' y='82.30' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='35.60px' lengthAdjust='spacingAndGlyphs'>101 – 500</text>
+<text x='131.94' y='67.14' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='31.15px' lengthAdjust='spacingAndGlyphs'>51 – 100</text>
+<text x='131.94' y='51.98' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='22.25px' lengthAdjust='spacingAndGlyphs'>2 – 50</text>
+<text x='131.94' y='32.50' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='114.33px' lengthAdjust='spacingAndGlyphs'>Just me (freelance, independent</text>
+<text x='131.94' y='41.14' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='55.60px' lengthAdjust='spacingAndGlyphs'>contractor, etc.)</text>
+<text x='136.88' y='175.00' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='11.56px' lengthAdjust='spacingAndGlyphs'>0%</text>
+<text x='262.81' y='175.00' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
+<text x='388.74' y='175.00' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.46px' lengthAdjust='spacingAndGlyphs'>100%</text>
+<text x='281.70' y='192.47' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='246.14px' lengthAdjust='spacingAndGlyphs'>About how many people work at your organization?</text>
+<text x='426.52' y='205.46' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='35.82px' lengthAdjust='spacingAndGlyphs'>n = 4,766</text>
+</g>
+</svg>
diff --git a/_content/blog/survey2024h1/os_deploy.svg b/_content/blog/survey2024h1/os_deploy.svg
new file mode 100644
index 0000000..467d6d0
--- /dev/null
+++ b/_content/blog/survey2024h1/os_deploy.svg
@@ -0,0 +1,82 @@
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+<polyline points='115.55,127.18 115.55,124.20 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='118.41,112.29 118.41,109.32 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='118.41,110.80 115.92,110.80 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='115.92,112.29 115.92,109.32 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='155.99,67.64 155.99,64.66 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='155.99,66.15 150.63,66.15 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='150.63,67.64 150.63,64.66 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<text x='126.96' y='98.61' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>5%</text>
+<text x='371.79' y='53.95' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>93%</text>
+<text x='156.40' y='83.72' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>15%</text>
+<text x='121.10' y='128.38' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>3%</text>
+<text x='121.50' y='113.49' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>3%</text>
+<text x='159.31' y='68.84' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>16%</text>
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+<g clip-path='url(#cpMC4wMHw0MzIuMDB8MC4wMHwxODMuMDA=)'>
+<text x='103.91' y='128.56' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.01px' lengthAdjust='spacingAndGlyphs'>Other</text>
+<text x='103.91' y='113.67' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='51.14px' lengthAdjust='spacingAndGlyphs'>WebAssembly</text>
+<text x='103.91' y='98.79' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='86.30px' lengthAdjust='spacingAndGlyphs'>Embedded devices / IoT</text>
+<text x='103.91' y='83.90' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='26.68px' lengthAdjust='spacingAndGlyphs'>macOS</text>
+<text x='103.91' y='69.02' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='32.46px' lengthAdjust='spacingAndGlyphs'>Windows</text>
+<text x='103.91' y='54.13' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='19.13px' lengthAdjust='spacingAndGlyphs'>Linux</text>
+<text x='108.85' y='145.29' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='11.56px' lengthAdjust='spacingAndGlyphs'>0%</text>
+<text x='246.97' y='145.29' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
+<text x='385.08' y='145.29' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.46px' lengthAdjust='spacingAndGlyphs'>100%</text>
+<text x='267.68' y='162.76' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
+<text x='5.48' y='30.60' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='73.40px' lengthAdjust='spacingAndGlyphs'>(select all that apply)</text>
+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='158.95px' lengthAdjust='spacingAndGlyphs'>I primarily deploy Go software to:</text>
+<text x='426.52' y='175.75' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='35.82px' lengthAdjust='spacingAndGlyphs'>n = 5,511</text>
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+</svg>
diff --git a/_content/blog/survey2024h1/os_dev.svg b/_content/blog/survey2024h1/os_dev.svg
new file mode 100644
index 0000000..bb34a88
--- /dev/null
+++ b/_content/blog/survey2024h1/os_dev.svg
@@ -0,0 +1,76 @@
+<?xml version='1.0' encoding='UTF-8' ?>
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+<g clip-path='url(#cpMTU0LjYyfDQyNi41Mnw0Mi4zM3wxMjQuMDg=)'>
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+<polyline points='207.35,84.78 207.35,81.63 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='196.34,100.50 196.34,97.35 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='196.34,98.93 191.72,98.93 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
+<polyline points='191.72,100.50 191.72,97.35 ' style='stroke-width: 1.07; stroke: #DDDDDD; stroke-linecap: butt;' />
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+<text x='297.97' y='70.17' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>58%</text>
+<text x='161.16' y='117.34' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>1%</text>
+<text x='215.98' y='85.89' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>23%</text>
+<text x='200.03' y='101.61' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>17%</text>
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+<g clip-path='url(#cpMC4wMHw0MzIuMDB8MC4wMHwxNzIuNDY=)'>
+<text x='149.69' y='117.52' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.01px' lengthAdjust='spacingAndGlyphs'>Other</text>
+<text x='149.69' y='101.79' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='132.08px' lengthAdjust='spacingAndGlyphs'>Windows Subsystem for Linux (WSL)</text>
+<text x='149.69' y='86.07' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='32.46px' lengthAdjust='spacingAndGlyphs'>Windows</text>
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+<text x='149.69' y='54.63' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='19.13px' lengthAdjust='spacingAndGlyphs'>Linux</text>
+<text x='154.62' y='134.75' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='11.56px' lengthAdjust='spacingAndGlyphs'>0%</text>
+<text x='272.84' y='134.75' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
+<text x='391.06' y='134.75' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.46px' lengthAdjust='spacingAndGlyphs'>100%</text>
+<text x='290.57' y='152.22' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
+<text x='5.48' y='30.60' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='73.40px' lengthAdjust='spacingAndGlyphs'>(select all that apply)</text>
+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='172.79px' lengthAdjust='spacingAndGlyphs'>When writing Go code, I develop on:</text>
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new file mode 100644
index 0000000..a8b0c75
--- /dev/null
+++ b/_content/blog/survey2024h1/os_dev_exp.svg
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new file mode 100644
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+<text x='224.53' y='159.76' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
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+<text x='103.46' y='94.38' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='43.59px' lengthAdjust='spacingAndGlyphs'>Very difficult</text>
+<text x='108.39' y='229.05' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='11.56px' lengthAdjust='spacingAndGlyphs'>0%</text>
+<text x='246.71' y='229.05' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
+<text x='385.03' y='229.05' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.46px' lengthAdjust='spacingAndGlyphs'>100%</text>
+<text x='267.46' y='246.52' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
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+<text x='280.48' y='59.79' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='39.59px' lengthAdjust='spacingAndGlyphs'>2 – 4 years</text>
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+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='354.03px' lengthAdjust='spacingAndGlyphs'>In your day-to-day experience with Go, how easy or difficult is it to identify</text>
+<text x='5.48' y='28.46' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='162.33px' lengthAdjust='spacingAndGlyphs'>and address performance issues?</text>
+<text x='426.52' y='259.51' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='35.82px' lengthAdjust='spacingAndGlyphs'>n = 4,669</text>
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+<text x='223.47' y='157.64' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>39%</text>
+<text x='184.11' y='185.22' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>25%</text>
+<text x='121.72' y='212.80' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>3%</text>
+<text x='120.51' y='94.20' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>3%</text>
+<text x='201.52' y='121.78' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>31%</text>
+<text x='221.57' y='149.36' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>39%</text>
+<text x='178.16' y='176.94' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>23%</text>
+<text x='123.50' y='204.52' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>4%</text>
+<text x='123.72' y='85.93' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>4%</text>
+<text x='211.49' y='113.51' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>35%</text>
+<text x='223.40' y='141.09' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>39%</text>
+<text x='168.44' y='168.67' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='15.00px' lengthAdjust='spacingAndGlyphs'>20%</text>
+<text x='118.22' y='196.25' style='font-size: 7.50px;fill: #555555; font-family: "Arial";' textLength='10.84px' lengthAdjust='spacingAndGlyphs'>2%</text>
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+<text x='103.46' y='177.12' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='56.93px' lengthAdjust='spacingAndGlyphs'>Somewhat easy</text>
+<text x='103.46' y='149.54' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='85.85px' lengthAdjust='spacingAndGlyphs'>Neither easy nor difficult</text>
+<text x='103.46' y='121.96' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='64.94px' lengthAdjust='spacingAndGlyphs'>Somewhat difficult</text>
+<text x='103.46' y='94.38' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='43.59px' lengthAdjust='spacingAndGlyphs'>Very difficult</text>
+<text x='108.39' y='229.05' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='11.56px' lengthAdjust='spacingAndGlyphs'>0%</text>
+<text x='246.71' y='229.05' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
+<text x='385.03' y='229.05' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='20.46px' lengthAdjust='spacingAndGlyphs'>100%</text>
+<text x='267.46' y='246.52' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
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+<rect x='212.43' y='50.54' width='12.76' height='12.76' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #99DD55;' />
+<rect x='283.94' y='50.54' width='12.76' height='12.76' style='stroke-width: 1.07; stroke: none; stroke-linecap: butt; stroke-linejoin: miter; fill: #0099CC;' />
+<text x='166.83' y='59.79' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='40.91px' lengthAdjust='spacingAndGlyphs'>Editor / IDE</text>
+<text x='229.88' y='59.79' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='49.36px' lengthAdjust='spacingAndGlyphs'>Commandline</text>
+<text x='301.39' y='59.79' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='60.49px' lengthAdjust='spacingAndGlyphs'>Cloud-based tool</text>
+<text x='5.48' y='17.66' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='354.03px' lengthAdjust='spacingAndGlyphs'>In your day-to-day experience with Go, how easy or difficult is it to identify</text>
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+<text x='426.52' y='259.51' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='35.82px' lengthAdjust='spacingAndGlyphs'>n = 1,472</text>
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diff --git a/_content/blog/survey2024h1/perf_importance.svg b/_content/blog/survey2024h1/perf_importance.svg
new file mode 100644
index 0000000..d00897a
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+<text x='150.62' y='192.49' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='133.01px' lengthAdjust='spacingAndGlyphs'>Industry regulations compliance (e.g.,</text>
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+<text x='150.62' y='154.14' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='94.30px' lengthAdjust='spacingAndGlyphs'>Supply chain security risks</text>
+<text x='150.62' y='128.49' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='104.08px' lengthAdjust='spacingAndGlyphs'>Compliance with data privacy</text>
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+<text x='150.62' y='90.14' text-anchor='end' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='87.18px' lengthAdjust='spacingAndGlyphs'>System misconfiguration</text>
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+<text x='273.36' y='260.08' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='16.01px' lengthAdjust='spacingAndGlyphs'>50%</text>
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+<text x='291.04' y='277.56' text-anchor='middle' style='font-size: 8.00px;fill: #666666; font-family: "Arial";' textLength='62.28px' lengthAdjust='spacingAndGlyphs'>% of respondents</text>
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+<text x='5.48' y='28.46' style='font-size: 10.00px; font-weight: bold;fill: #333333; font-family: "Arial";' textLength='260.15px' lengthAdjust='spacingAndGlyphs'>have been most relevant to your work on Go services?</text>
+<text x='426.52' y='290.55' text-anchor='end' style='font-size: 8.00px;fill: #999999; font-family: "Arial";' textLength='35.82px' lengthAdjust='spacingAndGlyphs'>n = 3,905</text>
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new file mode 100644
index 0000000..11ff0f4
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+<?xml version='1.0' encoding='UTF-8' ?>
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new file mode 100644
index 0000000..1c2b8a9
--- /dev/null
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