Where AI agents write code exclusively.
All code in this repository MUST be written exclusively by AI agents.
This is the foundational rule. No exceptions. No human may write, edit, or directly modify any source code in this project.
✅ ALLOWED:
- Instructing AI agents (Comet, Atlas, ChatGPT, Claude, etc.) to implement features
- Describing desired functionality in natural language
- Reviewing and testing AI-generated code
- Providing feedback and corrections to the AI agents
- Asking agents to refactor, optimize, or improve code
❌ NOT ALLOWED:
- Manually editing source code files
- Writing code snippets for the AI to copy
- Direct commits from human developers
- Hand-coding bug fixes or patches
- Any form of direct code modification
This repository is an experimental exploration of:
- AI Autonomy: Can AI agents autonomously develop high-quality software?
- Human Collaboration: How can humans effectively guide AI development?
- Code Quality: What is the quality of AI-generated code?
- Future of Engineering: What does software development look like with AI in charge?
- Creative Freedom: What innovations emerge when AI has full implementation control?
As AI capabilities grow, understanding how to effectively collaborate with AI agents becomes crucial. This repository serves as a living experiment in that collaboration model.
New to the project? Start here:
- INDEX.md - Complete project index and navigation
- PROJECTS.md - All active projects overview
- CONTRIBUTING.md - How to contribute and add projects
Looking for specific information?
- How do I use a project? → See
projects/[project-name]/README.md - How do I add a new project? → See CONTRIBUTING.md
- What projects exist? → See INDEX.md
- What's the technical architecture? → See PROJECT_README.md
| Project | Language | Status | Description |
|---|---|---|---|
| hello-world | Python | ✅ | Foundation template for developers |
| calculator | C++ | ✅ | Command-line arithmetic utility |
| network-monitor | Python | ✅ | Real-time packet analysis tool |
| port-scanner | C++ | ✅ | Multi-threaded TCP port scanner |
| nscan | C++ | ✅ | Enterprise Windows network scanner |
Total: 5 projects | Languages: Python, C++ | 100% AI-written code ✅
For detailed information on each project, see INDEX.md.
ai-agent-dev/
├── README.md # This file - core philosophy
├── INDEX.md # Complete project index and navigation
├── PROJECT_README.md # Technical project documentation
├── CONTRIBUTING.md # Contribution guidelines
├── PROJECTS.md # Ecosystem overview
├── LICENSE # MIT License
├── .gitignore # Git configuration
└── projects/ # All project folders
├── hello-world/ # Template project
├── calculator/ # Arithmetic utility
├── network-monitor/ # Packet analyzer
├── port-scanner/ # Port scanner
└── nscan/ # Enterprise scanner
Every project follows strict standards:
- ✅ 100% AI-Written: All code created by AI agents
- ✅ Fully Documented: Comprehensive README for each project
- ✅ Well-Structured: Professional folder organization
- ✅ Security Focused: Best practices and secure design
- ✅ MIT Licensed: Open source and free to use
- ✅ Tested: Functionality verified and working
| File | Purpose | Audience |
|---|---|---|
| README.md | Core philosophy and rules | Everyone |
| INDEX.md | Project navigation and overview | Everyone |
| PROJECT_README.md | Technical ecosystem details | Developers |
| CONTRIBUTING.md | How to contribute | Contributors |
| PROJECTS.md | Detailed project specifications | Developers |
| projects/*/README.md | Individual project documentation | Project users |
- Total Projects: 5
- Primary Languages: Python, C++
- Build Systems: CMake, Makefile, Batch
- Total Commits: 30+
- Code Quality: All AI-generated and verified
- Repository Status: Active Development
- Last Updated: November 18, 2025
This repository contains networking and security tools designed for authorized use:
- Network Monitor: Captures live traffic (requires appropriate permissions)
- Port Scanner: Performs network reconnaissance (authorized use only)
- NScan: Professional penetration testing tool (expert use)
All tools must be used:
- ✅ Only on networks/systems you own or have permission to test
- ✅ For legitimate security and learning purposes
- ✅ In compliance with all applicable laws
- ✅ With proper logging and documentation
- ✅ Respecting privacy and organizational policies
- Start by reading INDEX.md
- Choose a project that interests you
- Follow that project's README for setup and usage
- Explore the source code to understand implementation
- Read README.md (this file)
- Review CONTRIBUTING.md
- Design your new project with clear specifications
- Use an AI agent to implement it
- Submit a Pull Request for review
- Explore PROJECT_README.md for architecture details
- Study existing projects as templates
- Review code patterns and best practices
- Use hello-world as a starting template
- Network Monitor: Real-time packet analysis with protocol breakdown
- Hello World: Simple Python template for learning
- Calculator: Fast arithmetic operations
- Port Scanner: Multi-threaded TCP scanning
- NScan: Enterprise-grade network scanning tool
- Python (scripting, packet analysis)
- C++ (performance-critical code)
- CMake (build configuration)
- Scapy (packet manipulation)
- Multi-threading (concurrent processing)
- ICMP/TCP (network protocols)
Goal: Prove that AI agents can develop quality software with minimal human oversight.
Method:
- Humans define requirements
- AI agents implement the code
- Humans review and provide feedback
- Iterate until complete
Outcome: A fully functional, well-documented codebase written entirely by AI.
This project is licensed under the MIT License - see LICENSE file for details.
Have questions?
- Check INDEX.md for navigation
- Review CONTRIBUTING.md for guidelines
- Create an Issue on GitHub
- Start a Discussion for general questions
This project is made possible by:
- AI Agents: Comet, Atlas, ChatGPT, Claude, and others who wrote every line of code
- The Community: For reviewing, testing, and providing feedback
- Open Source: Standing on the shoulders of giants
"Where AI agents write code exclusively."
An experimental exploration of AI-driven software development. Building the future, one AI-written line at a time.