gstack

Product Introduction

1. Definition: GStack is an open-source, MIT-licensed AI agent orchestration framework and command suite designed for Claude Code. It functions as a virtual technical team, automating the software development lifecycle (SDLC) through a collection of 23 specialized, opinionated AI agents.
2. Core Value Proposition: GStack exists to solve the problem of fragmented AI development workflows by providing a cohesive, integrated suite of agents that handle roles from product strategy (CEO) to code review, security auditing, and deployment, enabling solo developers and small teams to ship production-grade software with unprecedented velocity.

Main Features

1. Specialized AI Agent Team: GStack deploys 23 distinct AI agents, each with a defined role like CEO, Engineering Manager, Designer, QA Lead, and Chief Security Officer (CSO). These agents are invoked via slash commands (e.g., /review, /qa, /cso) within Claude Code, providing structured, role-specific interactions instead of a single, general-purpose AI prompt.
2. End-to-End Development Workflow Automation: The framework provides commands that orchestrate the entire SDLC. /autoplan generates a comprehensive implementation plan. /review performs rigorous, multi-perspective code review. /ship manages the final review, testing, and creation of a production-ready pull request. /qa autonomously tests live URLs or local services in a real browser.
3. Multi-Agent Host Support & Browser Automation: GStack installs natively into Claude Code and offers experimental or instruction-only support for other AI coding agents like Codex, Cursor, and GitHub Copilot via the ./setup --host command. Its /browse skill and integrated browser engine enable agents to perform real web interactions, scraping, and visual QA, moving beyond static code analysis.

Problems Solved

1. Pain Point: Inefficient and disjointed use of AI coding assistants, where developers must manually context-switch and prompt-engineer for different tasks (planning, coding, reviewing, testing), leading to inconsistent output and missed edge cases.
2. Target Audience: Technical founders, solo developers, startup CTOs, and small engineering teams who need to maximize output with limited resources. It is also valuable for staff engineers and tech leads seeking to enforce code quality and security standards through automated, AI-driven checks on every PR.
3. Use Cases: Rapid prototyping of new products, conducting comprehensive security audits (/cso) on existing codebases, automating regression testing and visual QA (/qa) for web applications, generating strategic product plans (/office-hours, /plan-ceo-review), and ensuring rigorous, multi-agent code review (/review) before merging.

Unique Advantages

1. Differentiation: Unlike single-model AI coding tools, GStack provides a structured, multi-agent methodology. It is not just a code generator but a full software factory simulation. Compared to manually stitching together different AI tools, GStack offers a unified, opinionated workflow that reduces cognitive load and increases output consistency.
2. Key Innovation: Its "reuse ladder" ethos and the concept of "outside review" – where a code change is critically examined by a separate AI agent (or a different model like GPT) acting as an adversarial reviewer. This mimics real-world team dynamics, significantly reducing blind spots and improving code quality. The framework's ability to install across multiple AI host agents from a single codebase is also a key technical innovation.

Frequently Asked Questions (FAQ)

1. Is GStack a replacement for human developers? No, GStack is a force multiplier for developers. It automates repetitive and structured tasks within the SDLC (like boilerplate code generation, initial test plans, and security scan triage), allowing human engineers to focus on high-level architecture, complex problem-solving, and creative work. It acts as a full-stack AI team assistant.
2. How does GStack's security audit (/cso) work? The /cso (Chief Security Officer) command runs a structured security assessment. It utilizes a combination of static analysis, dependency checking (via tools like OSV-Scanner), and AI-driven threat modeling (informed by frameworks like OWASP and STRIDE) to identify vulnerabilities, misconfigurations, and potential attack vectors in the codebase, providing a prioritized report.
3. Can I use GStack with AI agents other than Claude Code? Yes, GStack supports multiple "hosts." While Claude Code is the primary, fully-certified tier, experimental support exists for OpenAI Codex, Cursor, and others via the ./setup --host <name> command. For any AI agent that can read instructions, you can use the portable 2KB "agent digest" file to import GStack's methodology.
4. What are the system requirements to run GStack? The core requirement is Claude Code, Git, and Bun v1.0+. The ./setup script handles most dependencies. For the full /cso security audit feature, a native toolchain (C compiler/Xcode/VS Build Tools) is required. Browser-based skills (/qa, /browse) work best with the Aside browser on macOS but include a bundled Chromium fallback.
5. How does GStack handle project-specific configuration and team collaboration? Running ./setup --team initializes "team mode," which adds a lightweight .claude/ configuration to your repository. This ensures all team members using Claude Code on that project automatically get the same version of Gstack, preventing version drift and enabling seamless collaboration without vendoring large files.