AI Coding Assistants Now Handle 45% of New Code Commits at Surveyed Technology Companies

## The AI-Generated Code Majority Approaches JetBrains' annual developer survey, covering 12,000 developers across 60 countries, reports that at companies with formal AI coding tool adoption programs, AI-generated or AI-heavily-assisted code now accounts for 45% of new code commits. At companies without formal programs, the figure is 18% as individual developers use AI tools independently. ## Tool Dominance GitHub Copilot remains the market leader by usage share at 54% of AI coding tool users. Cursor IDE (which embeds Claude as its core AI) has rapidly climbed to 23% adoption, with particularly strong representation among individual developers and startups. JetBrains AI Assistant (now integrated across all JetBrains IDEs) is used by 31% of JetBrains IDE users. ## Task Distribution The survey breaks down what developers use AI coding tools for: code completion and generation (used by 91% of AI tool users), documentation writing (67%), unit test generation (61%), code review and explanation (58%), debugging assistance (54%), and architecture design discussion (39%). The last category — AI as an architectural thinking partner — is the fastest-growing use case. ## Quality Outcomes Developer self-reported quality of AI-assisted code versus non-AI code shows complexity: 71% report faster initial implementation, but 52% report AI-generated code requires more careful review than human-written code for security and edge case handling. The consensus finding is that AI tools accelerate experienced developers substantially while potentially creating false confidence in less experienced developers. ## Business Productivity Impact Companies that have implemented formal AI coding programs report 28% faster feature delivery on average, though the methodology for such measurements varies widely across companies.