Move code review before the code
Code review got stuck at the merge. AI is the forcing function to move it upstream.
Code review got stuck at the merge. AI is the forcing function to move it upstream.
AI review gives you comments. AI verification gives you proof. If you’re shipping AI-generated code, here’s why that difference matters.
AI is breaking traditional code review. Learn how to replace diff checks with verified intent and automated invariant engineering.
AI is great at writing code. Making sure it actually does what you wanted is another story. Here’s how Aviator Verify solves that problem.
AI writes code fast. But who’s checking the shortcuts? Learn how to catch AI slop before it hits production.
AI speeds up code generation, but PR reviews can’t keep up. Teams ship more than ever, yet review queues grow and cycle times slow down. Learn what’s breaking in the process and how shifting verification to specs fixes the bottleneck.
AI code reviewed by AI can look correct, tests pass, style is fine and reviews approve, but still miss real requirements. The issue is not ability, it is circular validation. Both systems rely on the same patterns. Without a human-checked spec as the source of truth, correct can still be wrong.
The response to my original piece about killing the code review was loud. This is my attempt to address the comments.
Teams that treat AI as a code printer will drown in slop and debt. Those who become the best at specifying what they want and verifying that they got it will get the promised 10x productivity boost.
AI code review tools help improve code quality, speed up development, and enhance teamwork by automating repetitive tasks and spotting security issues. While they are effective, they aren’t perfect and may miss certain bugs or fail to understand complex systems. Combining AI tools with human insight results in the best outcomes for faster, cleaner, and more reliable development.