npm i -g codemachine
CodeMachine CLI is an autonomous multi-agent platform that works locally on your computer, turning specifications into production-ready code.
✨ CodeMachine Built Itself
90% of this entire codebase was generated by CodeMachine from a single specification file.
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.
CodeMachine is a CLI-native orchestration platform that transforms specification files and contextual inputs into production-ready code through coordinated multi-agent workflows. Specialized AI agents operate in hierarchical and parallel configurations with the ability for bidirectional communication, enabling runtime-adaptable methodologies that dynamically adjust to project requirements without framework modifications.
Why CodeMachine?
- Customizable, End-to-End Workflows: Architect sophisticated orchestration pipelines for any scale, from executing simple scripts to managing multi-day, complex development cycles.
- Strategic Multi-Agent Collaboration: Leverage a heterogeneous multi-agent system by assigning specialized models to specific tasks—for instance, using Gemini for planning, Claude for implementation, and another model for code review.
- Massively Parallel Execution: Achieve significantly accelerated output by deploying sub-agents that operate simultaneously on different components of a task.
- Persistent, Long-Running Orchestration: Execute workflows for extended durations—hours or even days—to autonomously accomplish complex, long-term development goals.
First, install the command-line tool globally via npm:
npm install -g codemachineThen, simply run codemachine in your project directory to get started.
codemachineCodeMachine initializes a .codemachine/ workspace. To start add your specs to the inputs/specifications.md file, then run /start and watch the magic happen, CodeMachine will:
- Architect a complete system blueprint from your requirements.
- Formulate detailed, step-by-step execution plans.
- Engineer clean, production-grade code for every component.
- Generate essential automation for testing and deployment.
- Integrate rigorous validation checks across every phase of execution.
CodeMachine requires at least one CLI-based AI engine to handle the primary roles of planning and writing code, and is designed to orchestrate multiple engines to collaborate within a single workflow. The table below shows the current status of supported and upcoming integrations.
| CLI Engine | Status | Main Agents | Sub Agents | Orchestrate |
|---|---|---|---|---|
| Codex CLI | ✅ Supported | ✅ | ✅ | ✅ |
| Claude Code | ✅ Supported | ✅ | ✅ | ✅ |
| Cursor CLI | ✅ Supported | ✅ | ✅ | ✅ |
| Gemini CLI | 🚧 Coming Soon | 🚧 | 🚧 | 🚧 |
| Qwen Coder | 🚧 Coming Soon | 🚧 | 🚧 | 🚧 |
CodeMachine has been battle-tested on the Sustaina Platform a full-stack ESG compliance system spanning 7 microservices, 500+ files, and 60,000+ lines of code across Python, TypeScript, React, FastAPI, and NestJS.
| Services Generated | 7 microservices (AI/ML + CRUD APIs) |
| Codebase Scale | ~500 files, 60K+ Line of code |
| Tech Stack | React 18, FastAPI, NestJS, PostgreSQL, MongoDB, Redis, Kubernetes |
| Time to MVP | ~8 hours of autonomous orchestration |
We conducted a real-world comparison by monitoring development work on a project of identical scope and complexity using the most powerful AI agent tools (Claude Code, Cursor, Copilot) with manual orchestration and human review, versus CodeMachine's autonomous multi-agent orchestration.
| Aspect | Regular AI Agents (Manual Orchestration + Human Review) |
CodeMachine (Autonomous Orchestration) |
|---|---|---|
| Architecture Planning | 4-6 hours of manual prompting | Automated (30 min) |
| Service Implementation | 140-200 hours (7 services × 20-30h each) Manual prompting, context switching |
Parallel execution (5 hours) |
| Integration & Testing | 30-50 hours Manual coordination, debugging |
Automated validation (2 hours) |
| Deployment Setup | 8-12 hours Scripts, configs, orchestration |
Auto-generated (30 min) |
| Code Consistency | Inconsistent patterns across services Different coding styles per session |
Unified architecture & patterns Consistent across all components |
| Quality Control | Manual review required Errors compound over time |
Built-in validation at each step Automated sanity checks |
| Context Retention | Lost between sessions Repeated explanations needed |
Full project context maintained Cross-service awareness |
| Total Developer Time | ~200-300 hours | ~8 hours |
| Efficiency Gain | Baseline | 25-37× faster |
Real-world comparison: One developer manually prompting AI coding assistants vs CodeMachine's autonomous multi-agent orchestration
Want to see how CodeMachine built this?
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.
📊 View Complete Case Study & Development Track →
Getting Started
Core Concepts
CLI Usage
Creating Custom Workflows
Writing Specifications
