three-man-team (russelleNVy/three-man-team) is an open-source AI project on GitHub. Repository summary: A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files. Its focus includes MCP and tool-calling integration, developer-centric engineering workflows, workflow automation, team collaboration integrations. It is suitable for extension, integration, and iterative delivery in real workflows.
License
MIT
Stars
648
Features
- Core capability: A structured 3-agent AI dev team — Architect, Builder, Reviewer. Built from production use. Token-optimized. Works with Claude Code, VS Code, Cursor, and any AI that supports context files.
- Provides MCP or tool-calling integration
- Built for code generation, debugging, or engineering integration
- Supports orchestrated automation flows and scheduling
- Integrates with team collaboration and business systems
- Repository: russelleNVy/three-man-team
Use Cases
- Connects external systems into agent workflows
- 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 three-man-team
- Validate three-man-team 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/russelleNVy/three-man-team. Community traction is around 648 stars. License: MIT.
It usually works as an execution component or capability layer, with common deployment fits such as: Connects external systems into agent workflows, Supports AI engineering build-and-iterate workflows for dev teams, Used for cross-system process automation and operations efficiency.
