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Developer Survey
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Python vs Go: A Practical Comparison for Developers
The post compares Python and Go across language design, performance, tooling, and developer profiles, drawing on quantitative data from the JetBrains Developer Ecosystem 2026 survey of 28,945 respondents and qualitative interviews with developers who migrated production workloads from Python to Go. Python favors expressive code and rapid iteration, while Go emphasizes explicit, standardized code that is easy to maintain across teams. Go excels in raw performance and concurrency and is widely used in cloud infrastructure, whereas Python remains stronger for machine learning, data science, and scientific computing. Survey data shows that Go developers are typically more infrastructure-focused and senior, and that Go is rarely a first language, while Python is beginner-friendly with 10% of its developers coding for less than a year. Most teams use both languages, with Go for services and infrastructure and Python for AI and data workloads, and moving to Go rarely means abandoning Python.
New Report: The State of CI/CD in 2026
JetBrains released a report on the state of CI/CD in 2026, drawing on four surveys including the Developer Ecosystem Survey 2026 and the State of CI/CD Tools Survey 2026. Among DevOps respondents, 83.4% run CI/CD pipelines. Self-hosting remains strong: 72.8% run their primary system on premises or self-managed cloud, and 30.5% use on-premises installations, a five-year high. AI is used by 48.8% of organizations for at least one CI/CD task, but only 8% integrate AI steps directly into builds; 28% interact via MCP or agent skills versus 10% via built-in assistants. The report covers popular tools, reasons for multi-platform use, switching factors, and barriers to AI adoption.
The results of the 2026 Developer Survey are here!
The 2026 Developer Survey gathered responses from over 30,000 developers over seven weeks, covering work patterns, technology usage, and AI adoption. Only 18% of developers work in an office daily, and the share of solo developers rose from 4% to 10%, possibly reflecting AI-enabled solopreneurship. In technology rankings, SQL surpassed HTML/CSS for the second spot, while Rust climbed to 12th most used language, potentially influenced by memory safety advocacy. AI usage is widespread: 73% of AI tool users employ them daily, with Claude Code (66%) and GitHub Copilot (59%) as leading agents, primarily for code generation (67%) and debugging (61%). Developers prioritize quality over cost (75% vs 38%) when using AI, and organizations implement cost controls like usage limits (38%) and model routing (27%), though 21% report increased spending.
A look back before we look forward: A Developer Survey retrospective
A retrospective analysis of the Stack Overflow Developer Survey compares 2024 and 2025 data across AI adoption, work settings, and demographic shifts. AI tool usage among developers rose from 62% to 79% year-over-year, while agent adoption jumped from 31% in 2025 to 59% in an April 2026 pulse survey, with ChatGPT and GitHub Copilot as primary gateways. Enthusiasm for AI tools cooled: favorable sentiment fell from 72.0% to 59.7% overall and from 72.2% to 52.8% among learners, and trust in accuracy declined from 49.1% to 37.4% for students, while skepticism among learners quadrupled from 6.4% to 26.3%. Fully remote work dropped from 38% to 32.4%, but 82% of respondents had some remote flexibility. The article identifies growing reliance on AI alongside skepticism and frames unanswered questions about learning, trust, and job satisfaction for the upcoming 2026 survey.
Getting ready for 2026 results: A look back on Developer Survey findings
Drawing on 15 years of data, the post compares 2024 and 2025 Developer Survey findings across AI evolution, work settings, and community demographics ahead of the 2026 results. AI tool usage grew from 62% in 2024 to 79% in 2025, while agent adoption jumped from 31% in 2025 to 59% in an April 2026 pulse survey, with ChatGPT and GitHub Copilot as primary gateways. Among learners, AI tool use rose from 63% to 73.3%, but favorable sentiment dropped from 72.2% to 52.8% and confidence in output accuracy declined, signaling growing skepticism. Work settings evolved, with fully remote falling from 38% to 32.4% and hybrid models gaining ground, yet 82% of respondents retained some remote flexibility in 2025. The post raises open questions for the 2026 survey, including whether the gap between AI use and enthusiasm persists and how agent delegation affects developer workflows.
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