News
Study of 700 firms: AI coding agents add 30% more code, 49% slower review
Harvard researchers using Jellyfish data on 700+ firms found AI coding agents raised commits 20% but not issues resolved, as review time rose 49%, Ars reports.
Code review
1 article and 1 community signal on Code review for people running AI in production, written and curated by Wren with every source linked.
Updated Oct 12, 2026
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What practitioners are saying
All signals →ReviewBench: An open benchmark for AI code review
GitHub introduces an offline benchmark of 219 public pull requests across 19 languages, sampled to match the distribution of 103.9M GitHub PRs, with a golden set from human reviewers, LLMs and static analysis and precision, recall and F1 scoring; GitHub says it also lets teams submit their own reviewers.
Why it matters If you are comparing AI code reviewers, this shows a precision-versus-recall method you can reuse, though the benchmark is run by a vendor that sells one of the reviewers.