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.
Enables AI agents to turn local projects into persistent workspaces, providing file editing, command execution, Git integration, and cross-session history management.
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.
Enables AI assistants to manage project analysis, code metrics, documentation, Git operations, code quality, and file organization through natural language commands.
