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Postgres 19 delayed after AI reviewers find more bugs than humans can fix

theregister.com189 points73 comments
Screenshot of Postgres 19 delayed after AI reviewers find more bugs than humans can fix

Commenters debated the Postgres 19 delay as a consequence of AI-driven code review. Devin argued AI reports often surface design tradeoffs that require human judgment and conversation rather than one-click fixes. FranOntanaya said tooling exposes issues with no plausible deniability, increasing time spent polishing features. MBCook and JuniperMesos suggested AI either reveals more real bugs in long-lived C code or simply makes previously hidden issues visible. Conversely, Ygg2 and bunderbunder warned about false positives and a “doom loop” where automated fixes introduce more problems; bpeng2000 and BatchJob said many AI-flagged issues touch too much code or exceed humans’ appetite for risky, large-scale rewrites.

Several commenters proposed paths forward. Iamnothere recommended AI as a first-pass bug finder but insisted humans must verify reports; Tanjreeve and skeledrew advocated separating coding and review loops and using focused models for reviews. F7F7F7 and extr observed training data’s hacks cause noisy results but also argued more AI can help clean it up. Jaggederest and others noted model choice and prompting matter, while testbjjl and DonHopkins suggested these tools will reshape job roles rather than eliminate human oversight. Where opinion divides is whether AI’s output is net productivity gain or an added triage burden for maintainers.

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