https://github.com/shivanshb1/agent-flow-tdd
Framework para automação de fluxo de features TDD usando agentes de IA.
https://github.com/shivanshb1/agent-flow-tdd
antropic cli cluade cursor deepseek gemini ia mcp openia openrouter python sdk
Last synced: 6 months ago
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Framework para automação de fluxo de features TDD usando agentes de IA.
- Host: GitHub
- URL: https://github.com/shivanshb1/agent-flow-tdd
- Owner: shivanshb1
- License: mit
- Created: 2025-04-04T12:28:43.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2025-04-04T14:19:42.000Z (6 months ago)
- Last Synced: 2025-04-04T14:29:11.811Z (6 months ago)
- Topics: antropic, cli, cluade, cursor, deepseek, gemini, ia, mcp, openia, openrouter, python, sdk
- Language: Python
- Size: 108 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
- Security: SECURITY.md
- Support: SUPPORT.md
Awesome Lists containing this project
README
```markdown
# Agent Flow TDD 🚀
Welcome to the **Agent Flow TDD** repository! This project provides a framework for automating the flow of features in Test-Driven Development (TDD) using artificial intelligence agents.
## Table of Contents
- [Features](#features)
- [Getting Started](#getting-started)
- [Installation](#installation)
- [Usage](#usage)
- [Examples](#examples)
- [Contributing](#contributing)
- [License](#license)
- [Contact](#contact)
## Features ✨
- **AI-Driven**: Utilize advanced AI agents to streamline your TDD processes.
- **CLI Support**: Command-line interface for easy interaction and automation.
- **Integration**: Works well with popular tools and libraries such as Antropic, OpenAI, and others.
- **Flexible**: Supports a wide range of workflows tailored for different project needs.
- **Open Source**: Community-driven development, ensuring continuous improvement and updates.
## Getting Started 🌟
Follow these steps to get your development environment set up:
### Prerequisites
Make sure you have the following installed:
- Python 3.7 or higher
- pip (Python package installer)
### Installation 🛠️
You can install the necessary packages with the following command:
```bash
pip install -r requirements.txt
```
## Usage 🖥️
Using the framework is straightforward. Here's a quick guide to get started:
1. **Initialize the Project**: Create a new project using the CLI.
```bash
agent-flow init my_project
```
2. **Create Features**: Define your features and tests in a structured manner.
3. **Run the Tests**: Execute your tests with:
```bash
agent-flow test
```
4. **Analyze Results**: View the generated reports to understand the outcomes.
## Examples 📚
Check out the examples in the `examples` directory for practical implementations of Agent Flow TDD. Here are a few:
- **Basic Setup**: A simple project demonstrating the core features.
- **Advanced Use Cases**: More complex scenarios involving multiple AI agents.
Feel free to explore the [Examples Directory](examples).
## Contributing 🤝
We welcome contributions! To contribute:
1. Fork the repository.
2. Create your feature branch:
```bash
git checkout -b feature/new-feature
```
3. Commit your changes:
```bash
git commit -m 'Add some feature'
```
4. Push to the branch:
```bash
git push origin feature/new-feature
```
5. Open a pull request.
Please ensure your code adheres to the existing style guidelines and includes relevant tests.
## License 📄
This project is licensed under the MIT License - see the [LICENSE](LICENSE) file for details.
## Contact 📫
For questions or suggestions, feel free to reach out:
- [GitHub Issues](https://github.com/shivanshb1/agent-flow-tdd/issues)
- Email: your_email@example.com
## Releases 📦
For the latest releases and updates, visit the [Releases Section](https://github.com/shivanshb1/agent-flow-tdd/releases).
[](https://github.com/shivanshb1/agent-flow-tdd/releases)
---
Thank you for checking out the Agent Flow TDD framework! Happy coding! 😊
```