The rapid advancement of AI coding tools is revolutionizing software development, promising a future where AI generates a significant portion of new code. GitHub CEO Thomas Dohmke predicted in 2023 that AI tools like Copilot could write 80% of code soon. This trend is already evident, with both large and small companies leveraging AI for code generation. Notably, Y Combinator's Garry Tan reported that 95% of the code for a quarter of their recent startups was produced by large language models. Surprisingly, developers spend most of their time debugging rather than writing code, a challenge familiar to maintainers of open-source projects. To address this, AI tools are being trained to debug code, proposing fixes for numerous issues, which developers can simply approve before merging. This approach aims to maximize efficiency and save time, transforming how developers manage and enhance codebases.

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