Multi-model deliberation
Multiple AI models review your code independently, then deliberate to reach consensus. More perspectives means fewer missed issues.
Three models review your code. Then they argue.
Multiple AI models review your code independently, then deliberate to reach consensus. Catches what linters miss — logic errors, security issues, and architectural concerns.
Reviews that go deeper
GitHub integration
Connect your repos and get reviews on every PR. Findings are posted directly as PR comments with actionable suggestions.
Beyond linting
Catches logic errors, race conditions, and architectural concerns that static analysis tools miss entirely.
Security analysis
Identifies potential vulnerabilities, injection risks, and insecure patterns before they reach production.
Improvement plans
Every finding comes with a concrete fix suggestion, not just a complaint. Actionable feedback your team can apply immediately.
Human-in-the-loop
Review findings before they're posted. Approve, edit, or dismiss suggestions so your team stays in control.
How it works
01
Connect your repo
Install the GitHub App and select which repositories to review.
02
Models review independently
Each AI model analyzes the code from a different angle — logic, security, performance, and style.
03
Deliberation phase
Models discuss their findings and challenge each other's conclusions to reduce false positives.
04
Consensus posted to PR
Only findings that survive deliberation are posted. Clear, actionable, and ready to fix.
Pricing
Dynamic credits per review
Pricing scales with changed files, scope, and risk surface.
- Multi-model deliberation on every review
- GitHub PR integration
- Security and logic analysis
- Actionable fix suggestions
- Human approval before posting
- Codebase-level reviews
Stop merging blind
Connect your GitHub repos and let multiple AI models find the bugs your team missed.