Agent Flow Tdd

What is Agent Flow Tdd

Agent Flow TDD is a framework designed for automating the flow of features in Test-Driven Development (TDD) using AI agents.

Use cases

Use cases include basic project setups demonstrating core features, advanced scenarios with multiple AI agents, and any TDD workflow that requires streamlined testing and feature development.

How to use

To use Agent Flow TDD, initialize a project using the command line, define your features and tests, run the tests, and analyze the results through generated reports.

Key features

Key features include AI-driven automation, command-line interface support, integration with popular tools like Antropic and OpenAI, flexibility for various workflows, and open-source community-driven development.

Where to use

Agent Flow TDD can be used in software development projects that adopt Test-Driven Development practices, particularly those that can benefit from automation and AI integration.

# 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.

   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:

   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.

Contributing 🤝

We welcome contributions! To contribute:

1. Fork the repository.
2. Create your feature branch:

   git checkout -b feature/new-feature
   

3. Commit your changes:

   git commit -m 'Add some feature'
   

4. Push to the branch:

   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 file for details.

Contact 📫

For questions or suggestions, feel free to reach out:

• GitHub Issues
• Email: [email protected]

Releases 📦

For the latest releases and updates, visit the Releases Section.

Thank you for checking out the Agent Flow TDD framework! Happy coding! 😊