Orchestrates complete agile development workflows from product requirements to QA testing through role-based stages (PO → Architect → SM → Dev → Review → QA). Manages workflow state, generates role-specific prompts, and saves artifacts while integrating with multiple AI engines for comprehensive project delivery.
Provides structured spec-driven development workflow tools for AI-assisted software development with sequential spec creation (Requirements → Design → Tasks). Features a real-time web dashboard for monitoring project progress and managing development workflows.
Enables AI coding tools to follow a structured spec-driven development workflow with three phases: requirements, design, and tasks, ensuring approval before advancing.
Enables multi-stage AI software development orchestration by allowing users to assign different AI models to roles like architect, developer, tester, and reviewer, and execute them via MCP tools or a desktop console.
Streamlines development workflows through AI-assisted codebase analysis, comprehensive planning, task breakdown with dependencies, and automated implementation verification. Enables systematic approach to complex development tasks like framework migrations and feature implementation.
Assists AI developers with intelligent requirement analysis and architecture design through guided clarification questions, branch-aware management, and automated architecture generation with persistent storage.
