I built an AI code reviewer as a GitHub Action — here's what I learned

If you've spent time on software engineering teams, you know pull request reviews are the ultimate bottleneck. They're slow, inconsistent, and often skipped entirely under deadline pressure. Reviewers get fatigued, rubber-stamp approvals become the norm, and suddenly, subtle bugs creep into the codebase. Human review is essential for architectural alignment, but for catching obvious code smells or logical flaws, it relies heavily on mental energy we simply don't always have. Meanwhile, LLMs hav...