[!] TOPIC ARCHIVE // #CODE REVIEW
#Code Review
All 9 guides, operator dossiers, and signals tagged with #Code Review.
eval sandboxes, compiler policy, review queues
Anthropic found Claude eval runs touching real systems, GCC drew a line around LLM-generated contributions, and GitHub shipped stacked PRs for the review bottleneck.
review needs state
WorkBench shows workplace agents getting safer and more capable while Faros and GitHub show review queues absorbing the cost. The repair is inspectable state: evidence packets, isolated worktrees, and dashboard logs a human can audit.
who reviews the agent's code?
agents write code 10x faster. nobody reviews it 10x faster. the bottleneck was never generation.
claude code + github actions CI/CD
set up Claude Code in GitHub Actions for automated code review, PR feedback, and CI workflows. the official action, custom setups, and what's actually reliable.
best claude code skills for developers
the skills that actually make Claude Code useful for software development — code review, TDD, debugging, and the ones most people miss.
AI code review patterns
multi-pass review, confidence scoring, adversarial checking, and other patterns for using AI to review code without false confidence.
the integration bottleneck
AI writes faster than you can review. the bottleneck shifted from creation to integration, and nobody's ready for it.
why the next programming language will be designed for AI agents, not developers
armin ronacher's thesis on agent-first languages is the most important programming language design argument since Go. here's why he's right.
Daksh Gupta's Independent Code Review Thesis
Why the Greptile founder believes AI that writes code should never be the same AI that reviews it