Features
Natural language project specification
Automatic task decomposition and agent orchestration
Parallel agent execution for faster builds
Human-in-the-loop review at any stage
Integrated code testing and debugging agents
Automated documentation generation
GitHub push integration for generated code
Multiple LLM backends (GPT-4o, Claude, DeepSeek)
Agent configuration and role assignment
Sandboxed execution environments
Project version history and rollback
Collaborative team workspaces (Pro and above)
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
