The State of Developer Ecosystem 2025 (blog.jetbrains.com)

JetBrains’ Developer Ecosystem Survey 2025 (24,534 respondents across 194 countries) shows AI has moved from novelty to baseline: 85% of developers regularly use AI tools and 62% rely on at least one AI coding assistant or agent. Most adopters report real productivity gains—nearly 90% save at least an hour per week and 20% save eight hours or more—by delegating boilerplate, information search, language conversions, comments/docs, and change summaries to AI. But 15% remain non-adopters and common worries persist: inconsistent code quality, limited understanding of complex logic, privacy/security risks, skill erosion, and lack of context-awareness—clear product gaps for ML engineers and toolmakers to address. Beyond AI, the survey flags major shifts in languages and how productivity is measured. TypeScript leads five-year growth, with Rust, Go and Kotlin steadily gaining; top wanted languages next are Go (11%), Rust (10%), Python (7%), Kotlin (6%), and TypeScript (6%), while PHP, Ruby and Objective‑C decline. Organizations are also rethinking metrics: developers rank non-technical factors (62%) alongside technical ones (51%) as critical, and 66% say current metrics don’t reflect their contributions. For the AI/ML community this means building models that better handle large, complex codebases, preserve privacy/context, and integrate into workflows that value collaboration and clarity—not just raw throughput.