AgileCoder

Multi-agent framework for software development based on agile methodology

CommonProductProgrammingAgile DevelopmentCode Generation

AgileCoder is an innovative multi-agent software development framework inspired by the agile methodologies widely used in professional software engineering. Its core principle lies in a task-oriented approach rather than assigning fixed roles to agents. AgileCoder simulates real-world software development by creating a task backlog 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.

• Task-oriented: Simulates real-world software development through task backlogs and sprints.
• Dynamic updates: The task backlog is dynamically updated at each sprint stage.
• Multi-model support: Supports a variety of models including OpenAI
Azure OpenAI
and Anthropic.
• Environment variable configuration: Model parameters can be configured via environment variables or a .env file.
• Command line tool: Provides a command line tool for software generation.
• Easy installation: Can be easily installed via pip.
• High accuracy: Capable of generating a wide range of software with high accuracy.
• Evaluation and testing: Offers performance evaluations on different datasets to validate its effectiveness in code generation.

\Target audience includes software developers
programming enthusiasts
and software engineering teams. AgileCoder mimics the agile development process
enabling developers to create and maintain software projects more efficiently
especially for teams that require rapid iteration and responsiveness to change.\

Generate a Caro game written in Python.
Create a complete software project based on complex software requirements.
Use for competitive programming tasks
such as HumanEval and MBPP datasets.

1. Install AgileCoder: Run `pip install agilecoder` in the command line.
2. Configure environment variables: Set necessary environment variables such as API_KEY
RESOURCE_ENDPOINT
based on the model being used.
3. Clone the repository: If you need access to the latest source code

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515580771

Bounce Rate

37.20%

Page per Visit

5.8

Visit Duration

00:06:42

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