GitHub - kmdupr33/fks2g: A CLI for generating LLM-backed metrics for deciding how closely to review code · GitHub
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fks2g
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fks2g
Since code review is the bottleneck now, fks2g helps developers decide how closely to review code.
Its for the devs who have already tried this method of reviewing code:
And for devs who have realized that this code review strategy leads to a finger pointing situation when bugs or bad architecture gets shipped:
To inform how closely to review a code change, the CLI collects:
cosine similarity between file-name embeddings and configurable project text sources
an LLM judgment about whether the closest files are likely to change soon based on source documents
recent bug-fix commits classified by an LLM
file change frequency from git history
an LLM final risk assessment based on the collected evidence
Usage
npx fks2g analyze -- --repo ../react --github-repo facebook/react --model gpt-5.4-nano $(git -C ../react show --name-only --format='' | tr '\n' ' ') ">OPENAI_API_KEY=KEY> npx fks2g analyze -- --repo ../react --github-repo facebook/react --model gpt-5.4-nano $(git -C ../react show --name-only --format='' | tr '\n' ' ')
This analyzes the files from the most recent commit of the react repo if you've got it cloned on your machine. There's a --help flag.
Warning: 0.X software
This software is as ready for prime-time usage as its name suggests. I've only kicked the tires on it a bit with openai models. Theoretically, google, anthropic, and bedrock models are also supported.
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A CLI for generating LLM-backed metrics for deciding how closely to review code
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Contributors
kmdupr33<br>Matt Dupree
Languages
TypeScript<br>99.6%
JavaScript<br>0.4%
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