AI code review for coding agents using four frontier models in debate
Knowledge infrastructure for agents and teams
Stage
MVP
Not given
Founded
2026
Not given
Based in
Not given
US
Pricing model
Freemium
Freemium
Pricing
Not given
Free plan with 200 credits per month for public repositories and core features; Pro plan at $16/month ($192 billed annually) with 4000 credits per month and private repository support; Enterprise plan with custom pricing and credits as needed
Key features
Deliberate for open design decisions before code exists
Audit to stress-test drafted work before shipping
Local review gates that block risky writes and commits
Bring your own API keys or models
Works across eight certified agent surfaces
Setup in under a minute with npx command
Connect agents with MCP Server for automatic documentation capture
Self-documenting pull requests
Sync existing documentation from Notion, Confluence, Coda, or repositories
Generate documentation on demand
Custom documentation templates
Shared knowledge layer for team-wide agent learning
Integration with Slack and MS Teams for context requests
Analytics dashboards and observability
What makes it different
Four frontier models debate instead of single-model review avoiding blind spots
All gate code and tools are open source and MIT-licensed
Never trains on user code or content
Pay-per-call pricing with no token markup or per-seat fees
Reduces agent token consumption by 50% through shared knowledge caching
Automatically maintains up-to-date documentation as code changes
Knowledge stays in human-readable Markdown format and is portable
Improves agent consistency across runs with shared knowledge layer
SOC 2 Type II certified for enterprise security compliance