spec-kitty (Priivacy-ai/spec-kitty) is an open-source AI project on GitHub. Repository summary: Spec-Driven Development for serious software developers. Spec Coding with with Claude, Cursor, Gemini, Codex. Kanban dashboard, git worktrees, auto-merge and more. Its focus includes multi-agent orchestration, developer-centric engineering workflows, workflow automation, team collaboration integrations. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
1,248
Features
- Core capability: Spec-Driven Development for serious software developers. Spec Coding with with Claude, Cursor, Gemini, Codex. Kanban dashboard, git worktrees, auto-merge and more.
- Supports multi-agent coordination and task decomposition
- Built for code generation, debugging, or engineering integration
- Supports orchestrated automation flows and scheduling
- Integrates with team collaboration and business systems
- Repository: Priivacy-ai/spec-kitty
Use Cases
- Used for decomposing and running complex tasks in parallel
- Supports AI engineering build-and-iterate workflows for dev teams
- Used for cross-system process automation and operations efficiency
- Used for team knowledge collaboration and task follow-ups
- Build internal AI workflow prototypes with spec-kitty
- Validate spec-kitty in production-like engineering scenarios
FAQ
Teams should first define integration boundaries and call patterns, then map repository capabilities into concrete interfaces, parameters, and access rules. GitHub repository: https://github.com/Priivacy-ai/spec-kitty. Community traction is around 1,248 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Used for decomposing and running complex tasks in parallel, Supports AI engineering build-and-iterate workflows for dev teams, Used for cross-system process automation and operations efficiency.
