AI can write code fast. Check AI Code helps reviewers trust it before spending attention.
Use it as a quiet pre-PR sanity check for AI-generated files, small handlers, scripts, and snippets before a human reviewer has to sort noise from risk.
Read the AI-generated code review checklistasync function saveUser(req, res) {
const user = await db.user.create(req.body)
events.forEach(async event => {
await analytics.track(user.id, event)
})
return res.json({ ok: true })
}3 practical risks
Static rules + AI-focused checks
CRITICAL
Async forEach is not awaited before returning.
WARNING
Input is passed directly into a database write.
INFO
Review framework and runtime assumptions.
The problem
AI code looks plausible
It can invent APIs, skip awaits, miss runtime edge cases, or use examples from the wrong framework version.
Linters are not enough
Format and style checks are useful, but they often miss practical semantic mistakes in generated code.
Reviewer trust is scarce
A noisy automated review can burn attention faster than it saves time. The useful first pass is quiet, concrete, and easy to verify.
What it can check
AI hallucinations
Fake methods, suspicious package usage, non-existent APIs, and migration-era examples.
Security patterns
Secrets, unsafe deserialization, command injection, path traversal, and dangerous defaults.
Runtime bugs
Async misuse, missing timeouts, mutable defaults, swallowed errors, and production-footgun patterns.
Ownership and authz smells
Heuristics for risky endpoints that fetch or mutate records by ID without an obvious user, owner, tenant, or org constraint.
Framework drift
Deprecated APIs, version mismatch patterns, and code copied from stale examples.
Static + enhanced review
Fast rule checks first; Pro can add deeper LLM-enhanced explanation when appropriate.
Privacy-conscious option
Privacy Mode skips LLM enhancement while still running static checks.
How it differs from other tools
Check AI Code is not trying to replace mature tools like dedicated SAST platforms, dependency scanners, or full security audits. It is designed as a fast first pass for AI-assisted development.
Great for style and local conventions.
Check AI Code focuses more on practical mistakes and AI-generated code failure modes.
Strong for known vulnerability classes and enterprise workflows.
Check AI Code is lighter-weight and easier to run before you ship a small change.
Best for product intent and business logic.
Check AI Code gives a quiet risk screen before a human spends attention.
Who it is for
Developers using Cursor, Claude Code, Copilot, ChatGPT, or other AI coding tools
Independent builders shipping small apps, automations, scripts, and API endpoints
Small teams that want a fast sanity check before review or deployment
Reviewers and tech leads who keep receiving low-quality AI-generated code
Anyone reviewing code they did not fully write by hand
Honest limits
It cannot guarantee every bug, vulnerability, or business-logic mistake will be found.
It does not replace tests, type checks, human review, dependency scanning, or a formal security audit.
Results are risk signals. A clean scan is not proof that authorization, ownership, tenant isolation, or business logic is correct.
Use it as the quiet review before the human review.
Paste a changed file or a small AI-generated snippet. You will see quickly whether the tool catches issues that would have wasted reviewer trust.
Try a free review