A Step-By-Step Guide for How to Kill the Line-By-Line Code Review
The New Stack, Monday, November 2nd, 2026
Aviator-sponsored guide argues AI agents should verify code changes against criteria and invariants while people make the decisions.
In this post sponsored by Aviator, Ankit Jain argues most teams run AI code review backwards, asking a model whether a change is good and letting a human skim and approve.
Models read every line consistently but lack a codebase's standards, context on past decisions and accountability, so he proposes that agents verify and people decide.
He describes the seven parts of the approach built into Aviator Verify, which checks every change against two layers.
Acceptance criteria define what the change should do, and invariants codify the rules that always apply across the team.