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code-review
45 postsWhen AI Writes Most of the Code, Peer Review Must Be Redesigned
As AI agents write and review most production code, traditional PR-approval compliance controls no longer reflect reality—here's what should replace them.
Claude Code Review Token Bills Cut 8-49x With Tree-sitter Call Graphs
A Tree-sitter call-graph blast-radius technique cuts Claude Code review token bills 8-49x, plus three traps that can silently erase the savings.
Review-Loop Engineering: Designing Real Human Oversight for Agent Loops
Why 'human in the loop' isn't real oversight for AI coding agents, and how review-loop engineering designs packets that expose gaps, not just green checks.
CommitBrief — AI code reviews, right in your terminal
A provider-agnostic, local-first CLI that reviews your staged changes, a historic range, or a whole GitHub pull request. Zero telemetry, no server. Free and open source.
commitbrief.comClaude Code Skills Guide: Automating Your Dev Workflow
How Claude Code's Skills evolved into a directory-based standard, with frontmatter controls and a real /code-review workflow example.
ALIBI: Adversarial Comments Bypass LLM Vulnerability Detectors
ALIBI framework shows LLM-based vulnerability detectors can be bypassed over 90% of the time using adversarial source-code comments.
AI Coding Agents Are Breaking Diff-Based Code Review
AI coding agents make diff-only code review unreliable; intent now lives in test names, builder APIs, and contract tests instead.
GhostCommit: the image-based exploit AI code reviewers miss
GhostCommit hides malicious instructions inside PNG images to bypass AI code reviewers like Cursor Bugbot and CodeRabbit undetected.
FOMO-Driven AI Coding: Speed Illusion, Hidden Review Debt
GitHub's 55% speedup versus METR's 19% slowdown finding reveals how FOMO-driven AI coding adoption hides the real cost of review and verification in mature codebases.
When AI Reviewers Disagree: A Multi-Agent Code Review Tribunal
ShiftLeft Society pits two AI reviewers against each other in a cost-based negotiation, using Qwen-Max to cut false positives and raise accuracy from 82.5% to 95%.
AI, Rockets, and Why Engineering Judgment Still Costs the Same
AI cheapens code generation, not engineering judgment. A rocket-engineering analogy — Apollo vs. the Soviet N1 — reframes how teams should review AI code.