# code-review

Code-writing models are 'English to code' interpreters — writing code is no longer the bottleneck; reviewing and merging it safely is. Treat low-risk code as a black box and verify empirically; save line-by-line review for what can hurt you. Claude Code's creator Boris Cherny agrees.

Boris Cherny says his team lets Claude Code find 99%+ of bugs first, then an engineer sanity-checks to make sure nothing obvious slipped through.

Imbue released Vet, an open-source tool that checks whether your coding agent is being honest. It reviews conversation logs and code changes, catching agents that claim tests passed when they never ran them. Runs locally, zero telemetry, CI-ready.

Simon Willison's new Agentic Engineering anti-pattern hits hard: do not submit AI-generated code you have not personally verified. That is not saving time; it is stealing reviewer time. The post pairs principles with a terraform destroy horror story.

swyx argues the final boss of Agentic Engineering isn't writing better code — it's eliminating the human Code Review bottleneck. The SDLC is about to flip upside down.

Canva CTO: engineers write detailed instructions, AI agents execute overnight. Senior engineers now 'largely review.' Anthropic CEO calls this 'Centaur Phase.' Few orgs redesigned work for AI. Cora startup achieved 20-30 eng output with 6 people. AI improves exponentially, humans don't.

Drexel/Missouri S&T analyzed 33,596 agent-authored GitHub PRs from 5 coding agents. Overall merge rate: 71%. Codex: 83%, Claude Code: 59%, Copilot: 43%. Rejection cause: no review. LeadDev warns PR flood is crushing monorepos/CI.

GitHub's Agent HQ now offers multi-agent support (Claude, Codex, Copilot) for Copilot Pro+ & Enterprise users. Run multiple AIs simultaneously in GitHub/VS Code to tackle problems from different angles. Outputs become Draft PRs. A paradigm shift for code review.