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In this video, I'll be talking about GSD, one of the most practical open-source workflow layers for AI coding that I have seen recently. It works on top of tools like Claude Code, Codex, Gemini CLI, OpenCode, Copilot, Cursor, and Antigravity, and it is designed to help coding agents handle larger projects without falling apart from context rot.

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Key Takeaways:

🚀 GSD is a workflow layer for AI coding agents, not a new model or another flashy AI IDE.  
🧠 Its main goal is to solve context rot, where long coding sessions become messy, forgetful, and unreliable.  
🗺️ The map-codebase command helps agents understand your architecture, conventions, and stack before making changes.  
📁 The new-project flow builds persistent project memory with files like requirements, roadmap, and state documents.  
💬 The discuss-phase step surfaces gray areas early so the model does not silently make product decisions for you.  
📋 The plan-phase step breaks work into small atomic tasks that fit inside fresh context windows.  
⚡ The execute-phase can run independent tasks in parallel waves and aims to create atomic git commits for each task.  
✅ The verify-work step focuses on real user-facing outcomes instead of stopping at passing tests or compiling code.  
💸 GSD is open source and MIT licensed, but model costs still matter when you use expensive models and parallel agents.  
👍 Overall, GSD is a great fit for solo developers and power users who want more structure in AI-assisted coding.

AICodeKing

GSD (Get Shit Done) is an open-source workflow system for AI coding agents that addresses 'context rot' — the degradation of agent performance as context windows fill up. It installs on top of tools like Claude Code, Codex, Gemini CLI, Cursor, and others, providing a spec-driven process: map the codebase, create a project, discuss a phase, plan atomically, execute in parallel waves, and verify deliverables. Key features include parallel agent execution grouped by dependencies, atomic git commits per task, and explicit verification steps that go beyond just passing tests. It's best suited for solo developers and indie hackers building medium-to-large features who want structured context management without enterprise overhead. Downsides include token cost from parallel agents, overkill for small tasks, and a terminal-first interface with a learning curve.

GSD + Claude Code, Antigravity: This Simple PLUGIN makes your Claude Code & Antigravity 2X BETTER!