AI agents don’t follow rules.
We’ve all been there — you craft meticulous instructions in CLAUDE.md, tweak Cursor rules, scatter AGENTS.md everywhere. But they drift. Commands vanish. Configs age. And your AI sidekick? It merrily breaks TypeScript’s no-‘any’ policy or skips npm test.
Data doesn’t lie. Whitehatd cloned 50 top open-source repos — Grafana, Django, Vue, Prisma, Supabase, Airflow, Tokio. Governance audit? 46% showed drift. Rules pointing to deleted lint scripts. Outdated CI refs. That’s nearly half of elite codebases failing basic sync.
Enter crag, the CLI compiler that’s brutally efficient. One governance.md in. Thirteen formats out. npx @whitehatd/crag — under a second, zero config. It scans your repo: CI workflows, package.json, tsconfig, Makefiles, dir structure. Spits out gates, architecture, testing, style, anti-patterns. Exactly what a senior dev would divine after a week neck-deep in your code.
Why Do 46% of Top Repos Suffer Rule Drift?
Look, it’s human nature — or dev nature. Teams evolve fast. npm run lint gets axed for biome. App Router kills getServerSideProps. But those AGENTS.md files? They linger like zombies. Crag’s audit on 50 repos clocked 1,809 gates total, mean 36.2 per repo. Grafana? 67 gates across Go, React, Docker. Cal.com’s Next.js stack? 53. Django pure Python? Still 38. And zero crashes in a 101-repo stress test. Hard numbers scream opportunity.
Here’s the output magic from a real Node project:
Gates (run in order, stop on failure)
Lint
- npm run lint
Test
- npm run test
Build
- npm run build
- npm run typecheck
Architecture
- Type: monolith
- Entry: bin/app.js
Code Style
- Indent: 2 spaces
- Formatter: prettier
- Linter: eslint
Anti-Patterns
Do not: - Use
anyin TypeScript — useunknown- UsegetServerSidePropswith App Router — use Server Components
Native formats for Cursor (.cursor/rules/governance.mdc), Claude (CLAUDE.md), Copilot (.github/copilot-instructions.md), Continue (.continuerules), even Zed (.rules) and Husky pre-commit. Thirteen targets. Byte-identical across OSes. No LLM hallucinations — pure pattern matching on 25+ languages (Node to Rust), 11 CI extractors (GitHub Actions to Jenkins), 8 frameworks (Next.js to Rails).
Crag audit flags the mess.
Stale Cursor rules? Check. AGENTS.md older than governance.md? Yep. tsc missing from devDeps? Busted. Then: crag compile –target all. Boom, fixed. Hook it to commits — crag hook install –drift-gate — and it blocks drift cold.
Is Crag Better Than Microsoft or Coder’s Governance Kits?
Market’s heating. Microsoft drops Agent Governance Toolkit. Coder adds AI governance. Kong gateways it. But crag flips the script — compile-time, not runtime. No sidecars, proxies, MCP servers. Static files each tool slurps natively. Deterministic. Offline. Node built-ins only, zero supply chain bombs. Others proxy requests? Crag bakes rules in upfront.
My take? This makes sense. Runtime gates add latency, failure modes — think agent’s mid-task timeout. Compile-time? Ironclad, zero-overhead. Bold call: in six months, crag-like compilers standardize like Make did for builds in the ’90s. Back then, fragmented shells killed portability; Makefiles unified. Today, AI tool sprawl does the same. Crag could slash AI-induced bugs 40% in poly-tool teams (extrapolating their 46% drift stat). Corporate hype says “agentic future”; crag says, “make it obey first.”
Numbers back the hype — or lack thereof. 50 repos, 20 languages, 7 CIs. Monorepos to Rust crates. 4,400 stress invocations, zero fails. Time per repo: 1.2s. That’s enterprise-grade without the bloat.
But here’s the sharp edge — if you’re solo, skipping multi-tool hell, crag’s overkill. Teams with Cursor + Claude + Copilot? Lifeline. Whitehatd’s not spinning PR; they’re shipping determinism in a probabilistic world.
Quick start? npx @whitehatd/crag analyze. Edit governance.md. Compile all. Audit. Hook. Done.
Why Does Crag Matter for Open-Source Maintainers?
Open-source beats on velocity. AI agents amp it — but only if governed. Imagine Vue or Prisma contributors feeding agents fresh rules, no drift. Forks stay compliant. That’s ecosystem win.
Skeptical? Their audit’s public-ish via metrics. No vapor. Just works.
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Frequently Asked Questions
What is crag CLI?
Crag’s a zero-config CLI that analyzes your repo’s actual setup — CI, scripts, styles — generates one governance.md, then compiles it to native formats for 13 AI coding tools like Cursor, Claude, and Copilot.
How does crag fix AI agent rule drift?
It audits for stale configs (e.g., rules referencing deleted scripts), auto-compiles updates from a single source, and hooks commits to block drift — found in 46% of 50 top repos.
Does crag work offline with any language?
Yes — offline, no deps beyond Node, supports 25+ languages from TypeScript to Rust, and runs on monorepos or single crates without cloud or API keys.
