Features
Multiple AI coding agents in parallel terminals
Isolated git worktrees per session
Issue board with lanes: Planning, Implementation, Review, Done
GitHub and Linear issue import and PR/comment posting
Real PTY terminals with user dotfiles and aliases
Built-in Monaco editor for file editing
SQLite databases explorer with read-only queries
Git diff viewer and commit history
Dependency tracking with cycle detection
Quick commands (CLI and terminal) with keyboard shortcuts
Agent MCP server to spawn additional sessions
Resume sessions with full conversation history
Support for Claude Code, Codex, Gemini CLI, Claude Fable 5
Multiple sessions on the same issue
Session settings for CLI, model, and effort
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
