Features
25 unified commands for AI coding workflows
7 domain-specific reference libraries
Persistent memory layer across sessions
Full audit trail of AI actions
Supports 10+ AI coding editors
Command customization and aliasing
Seamless context handoff between editors
Project-level memory and preferences
Shared team workflow templates
Real-time sync across devices
Version control integration for audit logs
Offline mode with local caching
Command suggestions based on context
Export audit trails for compliance
Multi-language support for commands
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
