Features
Detect AI hallucinated functions and libraries
Flag package name plausibility issues
Identify security vulnerabilities in generated code
Verify type signatures and argument mismatches
Check for null dereference and off-by-one errors
GitHub and GitLab pull request integration
CI pipeline integration (GitHub Actions, GitLab CI, Jenkins)
Local CLI for pre-commit hooks
Web dashboard for review history
Custom rule and pattern definitions (Team plan)
Support for Python, JavaScript, Java, Go
Slack and Microsoft Teams notifications
Single-tenant deployment option (Team plan)
Live knowledge graph from code, commits, issues, and docs
Feasibility analysis: flags buildable vs risky items
Technical design document generation grounded in service topology
Impact assessment maps services, APIs, and dependencies across repos
Auto-scoping epics into Jira/Linear stories with effort estimates
One-shot production code generation grounded in service patterns
AI code reviews with cross-repo impact analysis
Production issue triage via MCP
Conversational learning from Slack and Jira
Accelerated onboarding via system-level Q&A in coding agents
Create Jira tickets and merge requests from Slack
MCP server for integration with Cursor, Claude Code, Codex
On-prem or cloud deployment
No code storage or model training