Scaling code reviews with an Open Source AI Skill
With the rise of AI-generated code, reviewing pull requests has become more challenging than before. On several projects, I noticed the same pattern. Pull requests were getting bigger and more freq...

Source: DEV Community
With the rise of AI-generated code, reviewing pull requests has become more challenging than before. On several projects, I noticed the same pattern. Pull requests were getting bigger and more frequent, which made reviewing thoroughly increasingly difficult. The challenge was not complexity but volume. With AI accelerating code production, the gap became obvious. We can generate code fast, but reviewing with the same level of rigor is harder. Instead of trying to review faster, I chose to review differently. I started extracting my own review patterns and turned them into an AI Skill, now available as Open Source. Context: code review is the new bottleneck Code review used to scale with the team. More developers meant more reviewers, and the balance stayed relatively stable. This is no longer the case. With AI-assisted development, code volume has grown dramatically. Pull requests are more frequent and often larger, while reviews happen under constant time pressure. Feedback tends to b