"What if you could describe what you want, not how to build it?"
Neuro is a new programming language where you declare what you want to achieve with AI, and the compiler figures out how to make it happen. Stop writing boilerplate code and start declaring your intent.
| Simple | Fast | Accessible | Powerful |
|---|---|---|---|
| No AI/ML expertise required | Minutes instead of weeks | Works with just a text editor | Builds production-ready systems |
Stop writing code. Start declaring intent.
Natural language → AI understanding → Direct execution
Learn the entire language in 5 minutes:
pipeline FindJobs {
goal: "Find AI engineer jobs at remote companies"
target_roles: ["ai engineer", "ml engineer"]
locations: ["remote", "US"]
}
Run it: neuro my_task.neuro
→ ⚡ Quick Reference | 📖 Complete Guide | 🧠 AI Integration
💡 Optional: Enable AI-powered natural language parsing
→ DeepSeek Setup (Recommended - 200x cheaper!) | OpenAI Setup
One-time setup (Windows):
git clone https://github.com/ElaMCB/Neuro.git
cd Neuro
powershell -ExecutionPolicy Bypass -File install_neuro.ps1Close and reopen your terminal. Done! Neuro is now a command like node, python, or ruby.
→ See NEURO_IS_NOW_REAL.md for details
- Create a
.neurofile - Describe your AI task in plain English + simple structure
- Run it:
neuro your_file.neuro - Get results - Neuro handles everything automatically
You type:
"I want to transition from QA to AI engineering. I built Neuro and have Python skills. Find me relevant jobs and help optimize my resume."
Neuro understands and:
- ✅ Analyzes your background
- 🔍 Searches job boards automatically
- 📄 Generates resume suggestions
- 📝 Creates interview preparation plan
- 📊 Tracks applications
All in one step, no code required.
| Traditional Approach | Neuro Approach |
|---|---|
| Learn programming | Just speak English |
| Write code | Describe goals |
| Debug errors | Get clarification |
| Manage dependencies | Everything just works |
| Compile and run | Instant results |
| Aspect | Traditional Development | Neuro Development |
|---|---|---|
| Learning Curve | Months of programming languages | Minutes of natural language |
| Development | Writing detailed implementation code | Describing goals and constraints |
| Debugging | Finding and fixing code errors | Getting clarification on intent |
| Setup | Complex environments and dependencies | Zero configuration required |
| Execution | Compile, build, deploy cycles | Instant understanding and execution |
| Optimization | Manual code improvements | Automatic learning and adaptation |
| Tools | IDEs, terminals, build systems | Any simple text editor |
| AI Integration | External APIs and complex prompts | Built-in intelligent understanding |
// Instead of writing 200 lines of Python:
pipeline PredictiveMaintenance {
goal: "Predict machine failure from sensor data"
constraints: { accuracy: >95%, latency: <100ms }
data: load('sensors.csv') -> auto_clean() -> feature_discovery()
model: automl_search() -> optimize_for(constraints)
deploy: as_microservice(on='edge')
}
Neuro/
├── src/ # Core language implementation
├── examples/ # .neuro example files and demos
├── docs/ # Comprehensive documentation
├── scripts/ # Utility scripts (job search, etc.)
├── tests/ # Test suite
├── install_neuro.ps1 # One-command installation
├── neuro # Main executable (Unix)
├── neuro.bat # Main executable (Windows)
└── README.md # You are here!
- 📋 Project Roadmap - Development plans and timeline
- 🤝 Contribution Guide - How to get involved
- 📖 Examples - Neuro code examples
- 📚 Full Documentation - Complete guides and references
- 💬 Join Discussions - Help shape the language