I built an AI code review GitHub App that tracks your team's mistake patterns, here's how

Most AI code review tools tell you what's wrong in a PR. CodePulse tells you what your team keeps getting wrong, week after week.

I built CodePulse as a GitHub App that does two things regular code review bots don't: it stores every finding per developer over time, and sends a personalized weekly digest summarizing each person's recurring issue categories. The idea is simple — if you're writing the same type of bug every week, you should know about it.

How it works

Install the GitHub App on your repos. Every time a PR is opened, CodePulse fetches the diff, runs a two-pass AI analysis using Groq's Llama 3.3 70B with structured tool-calling, and posts inline review comments pinned to exact lines with severity labels — Critical, High, Medium, Low.

Every finding gets stored against the developer who wrote it, the repo, and the PR. This is what makes CodePulse different from a one-shot reviewer — it builds a history.