Features
Spec-driven development: define features as living specs
Multi-agent orchestration with coordinator agent
Built-in browser panel for autonomous E2E testing
Bring your own agent: Claude Code, Codex, OpenCode
Assign different models to different sub-agents
MCP (Model Context Protocol) server support
Git integration with isolated worktrees per feature
Real-time agent activity streaming
Side-by-side diffs before committing
Shared notes and spec with every change
Customizable UI with split views
Isolated workspaces with terminal and code editor
Figma sync (via MCP or manual)
Agent workflow chaining with retry and fallback
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