Where Trust in Automated Review Actually Comes From
There's a tempting fix for the moment your team stops trusting its AI code review...add a second AI to check the first one. I get why. We do the same thing with people...if a change is risky, we put two reviewers on it, because two people miss less than one. It seems like the same trick should work with models. I don't think it does. The problem is where a model's judgment comes from. Two models…
The reliance on AI for code review is often seen as a solution when teams lose trust in automated reviews. However, this approach has its limitations. When two AI models trained on similar data are used, they tend to have similar blind spots, leading to inconsistent judgments. Human reviewers, on the other hand, build their instincts in diverse environments and can spot issues that models might overlook.
The surface of a code diff can also be deceptive, as reviewers may be fooled by seemingly plausible code. Instead of relying on AI, focusing on facts and concrete information about a change can provide better insights. Checking factors like database migrations, lockfile changes, test modifications, CI green status, and the author's familiarity with the code can help identify potential risks.
A real-world example demonstrated that a large PR with multiple changes was deemed safe due to its size, while a smaller, seemingly safe PR actually touched critical billing code. To improve review processes, it is recommended to perform three quick lookups before trusting any review: identifying the paths changed, examining the history of those paths, and checking test compatibility.
While these signals cannot detect logic bugs, they can prioritize senior attention on high-risk changes. The ultimate question to ask is what information the review process gains from outside the diff, as most teams lack this knowledge. Merge Lantern is developing a tool that provides risk intelligence for small engineering teams, flagging PRs that require senior review based on key factors. If your team faces similar challenges, consider joining the waitlist at mergelantern.com.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
