found this interesting breakdown on how to actually audit ai-generated commits. most of us are just blindly merging agent prs without knowing the true origin of the logic. this tool basically adds session capture and per-line attribution directly into your existing git host. it aims to solve the issue of selection bias in agent benchmarks by providing a way to see exactly where the code came from.
the technical breakdowninstead of just looking at prompts, it focuses on ground truth via
git blame
style attribution. it helps engineering leads figure out how much of the repo is actually
human-authored vs agent-driven. be careful assuming a clean diff means safe code because the context window is often where the bugs hide.
>if you can't attribute the line, you can't debug the hallucination.the real nightmare is when an agent refactors a dependency without realizing it breaks the buildis anyone else actually using anything to track ai attribution yet or are we just
accepting the chaos letting it happen?
https://dzone.com/articles/ai-code-context-over-prompts