CROWThis page documents the standards we enforce while building and operating Crow. We use AI as a tool, not a substitute for engineering judgment, security rigor, or operational responsibility.
Last updated: August 30, 2026
These are anti-patterns often seen in fast "vibe coding" workflows. We reject them for production systems.
Shipping AI-generated code without human review.
Skipping tests because generated code "looks right."
Copy-pasting unknown dependencies without security checks.
Letting AI invent APIs, migrations, or data contracts unchecked.
Disabling lint/type checks to make builds pass quickly.
Committing secrets, tokens, or credentials to source code.
Prompting public models with sensitive production data.
Merging large generated diffs without understanding behavior changes.
Assuming AI output is compliant with licensing or policy by default.
Treating autogenerated docs as proof of implementation quality.
| Control | What We Require |
|---|---|
| Code Review | Human reviewer validates logic, architecture fit, and regression risk. |
| Static Analysis | Linting, typing, and quality checks must pass before merge. |
| Security Review | Risk-focused review for auth, input validation, and data handling paths. |
| Dependency Hygiene | Version scrutiny, changelog checks, and supply-chain risk awareness. |
| Release Gate | Deploy only after reviewer sign-off and explicit go/no-go decision. |
| Post-Release Monitoring | Logs, alerts, and rollback readiness for customer-facing paths. |
No. AI can assist with drafting and analysis, but production deployment is always gated by human approval, manual checks, and explicit release decisions.
We require human review, run static checks, validate critical flows, and compare behavior against product requirements before any release. Suggestions without evidence are rejected.
No. Sensitive data is minimized, redacted, and never pasted into public tools without a legal and security basis. Access to production data is restricted and audited.
No. Speed does not remove security obligations. We still run security audits, dependency checks, validation tests, and manual abuse-case reviews.
Vibe coding optimizes for speed and novelty. Our process optimizes for reliability, security, maintainability, and accountability with documented review gates.
Yes. We welcome reports related to safety, quality, or bias concerns and triage them as engineering issues with clear ownership and follow-up.
If you have questions about our AI usage, review process, or security posture, contact us and we will respond with implementation-level detail.