Features
Automatic integration test generation
Self-healing test maintenance (retires stale tests, adds new)
Baseline capture and diff detection for API behavior
Blast radius analysis via SCIP dependency graph
Local environment orchestration with Docker
Mock external dependencies (real DBs, queues, caches)
MCP integration for AI agents (Cursor, Claude Code, Windsurf)
CLI and IDE plugin support
Real-time audit reports inside IDE
Validation of APIs, workflows, contracts, error handling, auth, edge cases
Supports TypeScript, Python, JavaScript
Token consumption reduction (88%+ via KIT index)
Zero code retention (runs locally, code never leaves machine)
SOC 2 Type II compliance (in progress)
Git-based project required
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
