Codeball

We've been trying out Codeball for a few weeks now at Kitemaker and I have to say so far it's been remarkably accurate. We haven't seen a single false positive where it flags a PR as approved where we wouldn't have approved it ourselves manually.

Hey Product Hunters! 🌊 As engineers, we hate being blocked and waiting for Pull Request reviews, especially when the changes are obviously safe. We thought — if an AI can drive, surely we can train one to review code! 🧠 Codeball is a neural network trained on millions of Pull Requests (“wow, big data!”). It accurately predicts PRs that would be approved without further feedback. 🧩 Use the Codeball GitHub Action and auto-approve your good PRs (https://github.com/sturdy-dev/co...)! 🎯 Optimized for precision — Codeball only approves PRs that it’s really confident in. It uses over 100 different predictors (e.g. the code diffs themselves, author experience with the changed files as well as past issues with the type of change) for each contribution it checks. 🤯 When you stop the rubber stamping fakearoo on most PRs, you start actually paying more attention to tricky ones. This avoids the phenomenon informally known as “omg we have a bug in production!”. 🎮 Play with the live demo at https://codeball.ai to see how Codeball would have performed on your repository and how much time (and money) you would have saved last month. If you like it, then you shoulda put the GitHub Action on it. 💸 Codeball is free for open source projects and costs $10 / user / month for private repositories. It has a trial, of course, and because we are ballers, Codeball only costs if it actually saves you ⏰ & 💵 (there's a pretty dashboard)! Thanks!

This is so awesome and makes so much sense! Indeed there's a whole category of PRs that are trivial but you also don't want to break the good habit and so teams are ending up wasting lots of time