![\"CodeMachine](\"https://raw.githubusercontent.com/moazbuilds/CodeMachine-CLI/main/docs/assets/banner.jpg\")
\n\n \n
\n npm i -g codemachine\n
\n CodeMachine is a CLI-native Orchestration Engine that runs coordinated multi-agent workflows directly on your local machine. It provides the runtime infrastructure to execute complex multi-agent topologies within your own environment. Designed to drive any high-level autonomous objective, it features a battle-tested Spec-to-Code blueprint—transforming your terminal into a factory for production-ready software. ⚡️
\n ![\"CodeMachine](\"https://raw.githubusercontent.com/moazbuilds/CodeMachine-CLI/main/docs/assets/demo.gif\")
\n
\n ✨ CodeMachine Built Itself\n
\n\n\n 90% of this entire codebase was generated by CodeMachine from a single specification file.
\n This isn't a demo—it's proof. CodeMachine engine orchestrated its own architecture, planning, implementation, and testing—creating a massively scalable codebase ready for continuous updates and improvements.\n
\n \n ![\"Join](\"https://raw.githubusercontent.com/moazbuilds/CodeMachine-CLI/main/docs/assets/discord-badge.png\"){kind=icon}
\n \n \n \n ![\"Join](\"https://raw.githubusercontent.com/moazbuilds/CodeMachine-CLI/main/docs/assets/reddit-badge.png\"){kind=icon}
\n
\n Join our growing Discord and Reddit communities of developers building with CodeMachine!\n
\n
| CLI Engine | \nStatus | \n
|---|---|
| Codex CLI | ✓ Supported |
| Claude Code | ✓ Supported |
| CCR (Claude Code Router) | ✓ Supported |
| OpenCode CLI | ✓ Supported |
| Cursor CLI | ✓ Supported |
| Auggie CLI | ✓ Supported |
| Gemini CLI | ⊙ Coming Soon |
| Qwen Coder | ⊙ Coming Soon |
| Services Generated | \n7 microservices (AI/ML + CRUD APIs) | \n
| Codebase Scale | \n~500 files, 60K+ Line of code | \n
| Tech Stack | \nReact 18, FastAPI, NestJS, PostgreSQL, MongoDB, Redis, Kubernetes | \n
| Time to MVP | \n~8 hours of autonomous orchestration | \n
| Aspect | \nRegular AI Agents (Manual Orchestration + Human Review) | \n CodeMachine (Autonomous Orchestration) | \n
|---|---|---|
| Architecture Planning | \n4-6 hours of manual prompting | \nAutomated (30 min) | \n
| Service Implementation | \n140-200 hours (7 services × 20-30h each) Manual prompting, context switching | \n Parallel execution (5 hours) | \n
| Integration & Testing | \n30-50 hours Manual coordination, debugging | \n Automated validation (2 hours) | \n
| Deployment Setup | \n8-12 hours Scripts, configs, orchestration | \n Auto-generated (30 min) | \n
| Code Consistency | \nInconsistent patterns across services Different coding styles per session | \n Unified architecture & patterns Consistent across all components | \n
| Quality Control | \nManual review required Errors compound over time | \n Built-in validation at each step Automated sanity checks | \n
| Context Retention | \nLost between sessions Repeated explanations needed | \n Full project context maintained Cross-service awareness | \n
| Total Developer Time | \n~200-300 hours | \n~8 hours | \n
| Efficiency Gain | \nBaseline | \n25-37× faster | \n
Real-world comparison: One developer manually prompting AI coding assistants vs CodeMachine's autonomous multi-agent orchestration
\n\n---\n\n\n Want to see how CodeMachine built this?
\n Explore the complete case study showing the detailed path CodeMachine took to create this project—every step, decision, and workflow tracked from specification to production.\n
\n 📊 View Complete Case Study & Development Track →\n
\n\n---\n\n## ⭐ Contributors\n\n\nCodeMachine is built with contributions from amazing developers. Special thanks to everyone who has helped shape this project.\n
\n\n\n\n\nFound a bug or have a feature idea? Check our Contributing Guide to get started.\n
\n\n---\n\n## 📖 References\n\n\n
| \n 📚 Documentation \n Complete guides and CLI reference\n | \n \n 📝 Specification Schema \n Learn how to write specifications\n | \n \n 📊 Case Study \n Real-world production example\n | \n