Features
Autonomous multi-step code generation and refactoring
Long-horizon planning with dynamic task decomposition
Sandboxed execution environment for safe testing
Version control integration (git)
File system navigation and editing
Self-correction based on error feedback
Persistent context across sessions
Research-oriented tasks: literature review, experiment design
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
