ENGINEERING9 MIN READ23 JUN 2026

AI-assisted code review at scale

What works, what does not, and where LLMs become an active hazard in CR pipelines.

Igor Stajić

Igor Stajić

CBO

We have been running LLM-assisted code review on a few client codebases for about a year. The headline: it works, but only with very specific guardrails — and the failure modes are sneakier than the wins are obvious.

What works

Style + convention enforcement (PR-time), spotting obviously-missing tests, and surfacing TODOs and FIXMEs that humans miss. These are the boring 80% of CR comments and LLMs cover them well.

What does not

Architectural correctness, security review, and anything that requires reasoning about side effects across files. LLMs hallucinate confidently here, and a hallucinated security-review pass is worse than no pass at all.

About the author

Igor Stajić

Igor Stajić

CBO

Keep talking

Talk to the engineering team

If you're shipping something into production and want a sanity check from people who've done it, we'd be glad to compare notes.