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Field notes on AI code review worth reading

Opinionated engineering notes on the hard part of AI review: reducing noise, keeping humans in control, and turning model output into one useful GitHub review. For shipped changes, see the changelog.

Product2026-05-02 · 6 min read

Why three specialist reviewers beat one generic bot

A single “review this PR” prompt gets distracted. PR Quorum splits review into Correctness, Security, and Architecture so each reviewer can stay sharp and the aggregator can keep the final comment clean.

By PR Quorum team

Recent posts

Engineering9 min

Deduping reviewer findings without losing signal

How we sort by severity, dedupe by (file, line, lowercased title), and only post inline comments on lines that map to a unified-diff position. Plus: what we threw out and why.

PR Quorum team2026-04-18
Research4 min

A confidence floor is the cheapest noise filter you have

PR Quorum defaults to a 0.75 confidence floor because the fastest way to earn trust is not posting weak findings in the first place.

PR Quorum team2026-04-04
Product5 min

AI review should be advisory by default

Why every PR Quorum review is posted with event:COMMENT — never request_changes — and how the advisory framing changes how teams actually use the panel.

PR Quorum team2026-03-19

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