💻 programming

AgileCoder

Multi-agent framework for software development based on agile methodology

#code generation
#software development
#Agile development
#multi-agent
AgileCoder

Product Details

AgileCoder is an innovative multi-agent software development framework inspired by agile methodologies widely used in professional software engineering. The key to the framework is its task-oriented approach. Instead of assigning fixed roles to agents, AgileCoder mimics real-world software development by creating a backlog of tasks and dividing the development process into sprints, with each sprint dynamically updating the backlog. AgileCoder supports multiple models, including OpenAI, Azure OpenAI, Anthropic, and self-hosted Ollama models.

Main Features

1
• Task-oriented: Simulates real-world software development by creating task backlogs and sprints.
2
• Dynamic updates: Dynamically update the task backlog during each sprint.
3
• Multi-model support: Supports multiple models such as OpenAI, Azure OpenAI, Anthropic, etc.
4
• Environment variable configuration: Supports configuring model parameters through environment variables or .env files.
5
• Command Line Tools: Provides command line tools to build software.
6
• Easy to install: can be easily installed via pip.
7
• High Accuracy: Ability to generate a wide range of software with high accuracy.
8
• Evaluation and Testing: Provides performance evaluation on different data sets to verify its effectiveness in generating code.

How to Use

1
1. Install AgileCoder: Run `pip install agilecoder` in the command line.
2
2. Configure environment variables: Set necessary environment variables according to the model used, such as API_KEY, RESOURCE_ENDPOINT, etc.
3
3. Clone the repository: If you need to access the latest source code, you can clone the repository and switch to the new-flow branch.
4
4. Use command line tools: Generate software through the command `agilecoder --task 'your software requirements'`.
5
5. Customization options: Use additional options and flags to customize the behavior of AgileCoder as needed.
6
6. View help information: Run `agilecoder --help` to display a list of supported options and their descriptions.
7
7. Evaluation effect: Use the provided evaluation data set to test the performance of the software project generated by AgileCoder.

Target Users

The target audience is software developers, programming enthusiasts and software engineering teams. AgileCoder enables developers to create and maintain software projects more efficiently by imitating the agile development process. It is especially suitable for teams that need to quickly iterate and respond to changes.

Examples

Generate a Caro game written in Python.

Generate complete software projects based on complex software requirements.

Used for competitive programming tasks such as HumanEval and MBPP datasets.

Quick Access

Visit Website →

Categories

💻 programming
› Development and Tools
› Model training and deployment

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