Features
Full-codebase-context AI code reviews on every PR
Multi-pass security scanning for vulnerabilities
Autonomous CI fix agent for failing pipelines
Duplicate code detection across the codebase
Review Memory: organization-wide shared knowledge
Monorepo support with per-directory review guidelines
Review Statistics dashboard with per-member breakdowns
Engineering Insights: DORA metrics and AI adoption ratio
Push reviews that zero in on latest commits
Auto-discovery of REVIEW.md files via glob patterns
Claude Code Skill integration for in-session reviews
Slack notifications with author and comment counts
One-click re-review in GitHub and Slack
Dependency Bundler for safe automated upgrades
AppSec agent for CWE/CVE database scans
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
