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 spec-driven development workflows with AI assistants, providing tools for managing specification lifecycles, task dependencies, code navigation, testing, and automated reviews through a unified CLI and MCP interface.
Transforms AI agents into spec-driven product engineers by managing the software project lifecycle through requirements, design, implementation, and archiving phases with state-aware MCP tools.
Enables AI coding tools to follow a structured spec-driven development workflow with three phases: requirements, design, and tasks, ensuring approval before advancing.
Provides a specification-driven workflow layer for AI-assisted coding, enabling agents to follow an explicit 11-phase feature workflow with checkpoints, artifacts, and quality gates.
Enforces a rigorous spec-driven engineering workflow for AI coding assistants, requiring requirements, design, and task planning before any code is written.
