🤖 AI Summary
            GitHub’s Octoverse 2025 report is out and paints a clear picture: platform growth remains explosive (roughly one new developer joins GitHub every second) while AI, autonomous “agent” workflows, and typed languages are reshaping software development. The headline takeaway is TypeScript rising to the top of language popularity, fueled in part by AI-assisted tooling and a shift toward languages that provide stronger guarantees for large-scale, collaborative codebases. GitHub frames these as the biggest shifts in more than a decade.
For practitioners and teams, the implications are practical and technical: AI-infused IDEs and agent workflows are accelerating routine coding, code generation, and maintenance, but they also increase dependence on model quality, provenance, and evaluation. Typed languages like TypeScript gain traction because type information improves static analysis, tooling, and the reliability of model-driven code suggestions and automated refactors. Expect continued investment in LLM integrations, CI tooling that validates AI-produced changes, and a stronger emphasis on safety, testing, and governance to manage supply-chain and quality risks as AI becomes a core part of developer workflows.
        
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