1 points | by d-yoda 2 days ago
1 comments
I built a GitHub App that monitors your Python codebase for quality issues.
It reviews PRs and runs weekly audits on the entire repo. When it finds problems, it posts them as comments or Issues with concrete suggestions.
I open-sourced pyscn ([https://github.com/ludo-technologies/pyscn](https://github.com/ludo-technologies/pyscn)) a few months ago. I liked what it could do, but wanted to make it more accessible and more powerful. Combining it with an LLM felt like the right next step. pyscn-bot is the result.
It catches things like complex functions, dead code, and duplicated logic. It can also analyze your entire codebase architecture, something most review bots can't do since they only look at diffs.
Happy to answer questions.
I built a GitHub App that monitors your Python codebase for quality issues.
It reviews PRs and runs weekly audits on the entire repo. When it finds problems, it posts them as comments or Issues with concrete suggestions.
I open-sourced pyscn ([https://github.com/ludo-technologies/pyscn](https://github.com/ludo-technologies/pyscn)) a few months ago. I liked what it could do, but wanted to make it more accessible and more powerful. Combining it with an LLM felt like the right next step. pyscn-bot is the result.
It catches things like complex functions, dead code, and duplicated logic. It can also analyze your entire codebase architecture, something most review bots can't do since they only look at diffs.
Happy to answer questions.