Code review is broken.
We're not fixing it.
AI code review is still a review
AI code reviewers are great but they're only sampling the code without knowing intent. They can't verify that the implementation matches what you meant to build.
Install the MCP. Submit your first intent.
| Criterion | Method |
|---|---|
Requires authentication Check middleware chain | Code Analysis |
No new dependencies Diff package files | Code Analysis |
Returns 429 when exceeded Call endpoint, check response | Execution Test |
P99 latency under 200ms Run benchmark in sandbox | Execution Test |
Complex/custom criteria LLM with confidence threshold | AI Fallback |
Deterministic verification for AI generated code
Other tools use AI to review code — but AI judgment is inconsistent. Verify is different. We parse your code, analyze the AST, and verify criteria through deterministic checks. AI is only used as a fallback for complex cases.
From captured intent to verified review
Work locally with your agent
Implement a task through Claude, Cursor, or Copilot — the same way you already do. No new tooling, no behavior change. Iterate until you're aligned on the details.
Looking at your middleware chain. I'll add a per-user counter and a 429 on overflow — tests go next to middleware_test.go.
Got it. Wiring the rate-limit events into the existing logger now.
Submit intent with the Aviator MCP
When you're ready, the agent captures your intent, generates the acceptance criteria from what you've built, and submits both to Aviator through the MCP — one tool call from inside your agent.
Aviator verifies end-to-end
Aviator generates scenarios, applies your team's invariants, and runs them against the change. Evidence streams in as it goes.
log rate-limit events
no new dependencies
429 on burst
Review the behavior, not the diff
Reviewers see every criterion with its verdict, evidence, and comments. Run an ad-hoc scenario, waive with reason, or approve.
Add rate limiting to public API
Aviator Verify vs AI Code Review
Audit-ready from day one
Every verification produces an immutable audit record. Spec approval, implementation, verification results—linked and timestamped. Generate SOC 2 evidence packages on demand.
Audit trail
PR #218 / Add rate limiting
Spec created
10:23 AM
alex@acme.co
Reviewed
10:45 AM
jordan@acme.co
Approved
11:02 AM
jordan@acme.co
Implemented
2:30 PM
alex@acme.co
Verified
2:31 PM
Aviator AI
Deployed
2:35 PM
CI/CD
Segregation of Duties
Spec approval, implementation, and verification are separate actors. Stronger separation than code review.
Full Traceability
Every production change links to approved intent, verification results, and business justification.
Export Reports
Generate compliance packages for SOC 2, ISO 27001, or custom frameworks. One click.
Works with your stack
Integrates seamlessly with the tools you already use
Ready to verify the AI code?
Install the MCP. Submit your first intent. No credit card required.