Introducing the Micro-Agent Project
Overview
The Micro-Agent project offers an innovative solution for developers who want to streamline the process of coding by leveraging the power of AI. This tool acts as an AI agent that writes and fixes code automatically through an iterative process. By simply running the micro-agent command and providing a prompt, this tool can generate code, create corresponding test cases, and iteratively refine the code until all the test cases pass.
The Need for Micro-Agent
Large language models (LLMs) are proficient in generating code, but the initial output is often flawed. Traditionally, developers have to manually refine this code through several iterations. The Micro-Agent removes this repetitive task, letting AI handle both code generation and its subsequent refinement until it meets the specified test requirements.
What Makes It a "Micro" Agent?
Unlike general-purpose coding AI agents that may become erratic due to piling errors (comparable to a robotic vacuum’s struggle when trapped), the Micro-Agent remains focused and straightforward. It:
- Sets up a clear and definitive test case to ensure the code functions as planned.
- Iterates through the code until all conditions of the test cases are satisfied.
Advantages and Limitations
Micro-Agent is not designed to serve as a comprehensive developer tool. It's not developed to manage extensive tasks like module installation or handling multiple files which could lead to errors with current AI capabilities. Instead, it specializes in creating a test and producing code that passes that test efficiently and accurately.
Installation
Micro-Agent requires Node.js v18 or later. It can be installed globally using npm with the following command:
npm install -g @builder.io/micro-agent
Getting Started
To begin using the Micro-Agent, simply run it in interactive mode with the command micro-agent. This mode prompts the user for feedback to refine the generated code continuously, allowing the user to harness the power of test-driven development effortlessly.
Manual Configuration
Micro-Agent requires integration with an LLM API. Users must set up an API key for platforms like OpenAI or Claude using the CLI commands provided in the documentation.
For example, setting up an OpenAI Model:
micro-agent config set OPENAI_KEY=<your token>
micro-agent config set MODEL=gpt-4o
Unit Test Execution
To run file-specific code generation with test matching, a test script can be supplied. For instance:
micro-agent ./file-to-edit.ts -t "npm test"
Visual Matching (Experimental)
As an experimental feature, Micro-Agent can render code to match a given design by comparing the rendered outcome to a local screenshot. This feature requires an Anthropic API key for optimal functionality.
Integration with Figma
Micro-Agent can be integrated with tools like Visual Copilot, facilitating a seamless Figma to code conversion. This integration ensures high fidelity and exact component utilization aligning closely with the original design.
Configuration and Updates
The tool provides various configuration options like max run settings and an interactive UI for setting config options. Keeping Micro-Agent updated is essential, achievable through simple CLI commands.
Contributing and Feedback
The project welcomes contributions and is open to feedback to improve its utility further. Developers interested in contributing can find guidelines and open issues to work on through the project’s repository.
By simplifying repeat coding tasks, Micro-Agent empowers developers to focus more on design and logic by leaving test-driven code refinement to AI.