#code-review
10 items tagged #code-review.
GUIDE 2026-05-11
Accept or reject? Five heuristics that beat 'looks right'
Most AI-assisted coding mistakes aren't bad prompts — they're suggestions that looked right and weren't. Five concrete checks that catch the failures before they ship.
GUIDE 2026-05-11
AI as a code reviewer: where it helps, where it's noise
AI review tools catch real bugs consistently but miss architecture, intent, and taste. Here's how to use the pair-review workflow without letting AI comments become background noise.
GUIDE 2026-05-11
Codex review mode: a second opinion that doesn't agree with you for free
Codex CLI can review a diff or file and return categorized findings before a human ever sees your PR. Here's how to use it, what to trust, and what to ignore.
CASE STUDY 2026-05-04
A three-tool AI code review loop: Cursor, Copilot, and Aider on the same PRs
A small team tested Cursor, Copilot, and Aider as separate review passes before human review. The useful result was not more comments, but better self-review before opening PRs.
GUIDE 2026-04-25
GitHub Copilot for PR review: a workflow that actually catches things
Copilot's auto-review feature misses real bugs and flags style nits. Here's a three-pass workflow that uses Copilot for what it's good at and humans for what it isn't.
GUIDE 2026-04-06
Cursor's BugBot for PR review: where it earns its $40/month and where it doesn't
Cursor BugBot reviews PRs automatically. The hit rate on real bugs is real but uneven. Here's where it justifies the cost.
GUIDE 2026-03-25
Integrating AI into your PR review workflow without making review worse
AI-generated PR reviews can catch real issues or flood your team with low-signal noise. The difference is in what you ask the AI to do and how you wire it into the human review.
BLOG 2026-03-23
Code review is now the bottleneck — and AI is making it worse
When AI lets one engineer ship 3x more code, the team's bottleneck moves to review. Most teams haven't adjusted. Here's what's happening and what to do.
BLOG 2026-03-19
Why review-as-you-go beats batch review for AI-generated code
Reviewing AI output one chunk at a time feels slower than letting it produce a feature and reviewing the diff at the end. Across many sessions, the reverse turns out to be true.
