The Last Human Code Review: Building Trust in AI-Generated Code — Itamar Friedman, Qodo
Itamar Friedman from Qodo argues that the problem with AI-generated code is not the quality of models but that code review context is fragmented and often uncodified.
He identifies two opposing camps among developers: one requiring human review of every line, one accepting bugs for higher speed. Friedman's point is that this context — architectural rules, previous errors, service contracts — lies scattered in instruction files, Slack threads, and developers' heads, and must be collected and codified in a way both AI agents and humans can use. When done correctly, code review can evolve from reading individual changes to understanding the entire system's dependency graphs.
Vibekollen prepared this summary with AI from the original publication. The content belongs to AI Engineer.
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