Replace code reviews
with verified intent
AI writes code faster than humans can review it. Aviator Verify provides compliance-grade verification through spec-driven development. Ship faster with complete audit trails.
Welcome back
Julia
Add subscription status endpoint
PR #234
Fix auth redirect
PR #229
Add rate limiting to public API
PR #218
Human review doesn't scale with AI-generated code
AI can generate in minutes what takes hours to review. The result? Reviewer fatigue, rubber-stamped PRs, and compliance theater.
Traditional review asks: "Does this code look okay?"
That's the wrong question when AI writes code. The right question is: "Does this code match what we intended?"
| Criterion | Method |
|---|---|
Endpoint: GET /api/users Parse route definitions | Code Analysis |
Requires authentication Check middleware chain | Code Analysis |
Response includes: id, name Analyze return types | Code Analysis |
No new dependencies Diff package files | Code Analysis |
SQL uses parameterized queries Pattern analysis | Code Analysis |
Returns 404 if not found Call endpoint, check response | Execution Test |
Returns 200 with valid data Run generated test against sandbox | 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 intent to verified deployment
Write the spec
Collaborate with AI to plan out the work. AI generates a structured spec with scope and acceptance criteria. Iterate until it captures the full intent.
Should we also add retry logic for transient failures?
Review & approve
Submit the spec for review. Reviewers approve the intent and acceptance criteria before writing the code. AI adds missing criteria based on org patterns.
Add rate limiting to public API
Platform Eng / acme/api
Implement anywhere
Use any AI coding tool—Cursor, Copilot, Claude, or implement manually. Download the approved spec and let your agent build to the contract.
Add rate limiting to public API
6 acceptance criteria / Approved by @jordan
Cursor
Open in IDE
Copilot
GitHub
Claude
Anthropic
Manual
Copy spec
Verify & ship
Push your code. Verify runs deterministic checks against each criterion. Every result shows the method used, the evidence found, and exactly where to look.
All checks passed
6/6 criteria verified
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.
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?
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