How to Orchestrate AI Teams for Software Development with Gstack

Gstack is an open-source AI orchestration framework created by Y Combinator CEO Garry Tan. It transforms Claude Code into a virtual software company with distinct AI personas. The framework includes role-based agents like CEO, Engineering Manager, and QA tester. A conductor agent enforces strategic thinking before any coding begins.

Gstack solves the problem of unstructured solo AI coding workflows. Instead of one AI assistant working in isolation, it coordinates multiple specialized agents. This approach mirrors how real tech companies operate with separate roles and review processes. The result is higher-quality code with better strategic alignment.

Project Link

Project link:
https://github.com/garrytan/gstack

How Gstack Works: AI Roles & Orchestration

Gstack organizes AI into five distinct roles that collaborate on software projects:

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1. Conductor Agent – Forces strategic thinking before coding begins, coordinates all other agents
2. CEO Persona – Sets overall vision, priorities, and business objectives
3. Engineering Manager – Breaks down tasks, manages timelines, ensures technical feasibility
4. QA Tester – Reviews code for bugs, edge cases, and quality standards
5. Individual Contributors – Write actual implementation code based on assigned tasks

The conductor agent is the key innovation. It prevents the AI from jumping straight to implementation. Instead, it requires thorough problem analysis and strategic planning first. This mimics how experienced engineers approach complex problems.

How to Deploy & Use Gstack

1. Clone the GitHub repository using the project link above
2. Set up API keys for Claude Code and other required services
3. Configure the conductor agent with your project requirements
4. Define the specific roles needed for your software project
5. Start the orchestration process and monitor agent interactions

Gstack requires Claude Code API access and basic Python environment setup. The repository includes detailed configuration examples and deployment instructions. Garry Tan documents his own usage producing 600,000+ lines of production code in 60 days.

The Verdict

Gstack represents a shift from single AI assistants to coordinated AI teams. By imposing organizational structure on AI workflows, it addresses the quality and strategic gaps in solo AI coding. The framework proves that AI can handle complex software development when properly orchestrated.

This approach complements other AI development tools like Code Review Graph which adds local project context to Claude Code. Similarly, Claw Code demonstrates how open-source implementations make advanced AI agent architecture accessible. Gstack continues this trend by open-sourcing production-grade AI orchestration.