Description
Micro Agent is an AI-powered tool designed to assist developers by writing and refining code. Its core functionality revolves around generating code that satisfies predefined test cases, thereby automating the iterative process of debugging and improvement. This approach aims to address the common challenge of LLMs producing code that requires extensive manual correction.
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The tool operates by first generating a test case and then iteratively producing code until all specified tests pass. This test-driven development (TDD) methodology is central to Micro Agent's design, ensuring that the generated code is not only functional but also robust and verifiable. The project emphasizes a 'micro' agent philosophy, meaning it is intentionally focused on a single, well-defined task: writing tests and then generating code that passes those tests. This contrasts with more general-purpose AI agents that can sometimes lead to compounding errors.
Micro Agent supports integration with several popular LLM providers, including Claude, OpenAI, and Ollama, as well as any OpenAI-compatible services like Groq. Users can configure their API keys and preferred models directly through the command-line interface. The tool offers two primary modes of operation: unit test matching and an experimental visual matching mode. In unit test matching, users provide a test script that Micro Agent executes after each code generation attempt. The visual matching feature, which is still under development, allows the agent to attempt to match a given design by comparing rendered code output against a screenshot.
Installation is straightforward via npm, requiring Node.js v18 or later. Getting started can be as simple as running `micro-agent` in interactive mode, which guides the user through the code generation process. For more advanced use cases, users can specify file paths, test scripts, prompt files, and even visual targets. The project also includes options for configuring the maximum number of runs and managing settings through a dedicated `config` command or environment variables. Contributions are welcomed, with a focus on improving the agent's capabilities and user experience.
- CategoryAI Coding Assistants
- Pricing ModelOpen source
- DeploymentCloud
- PlatformsCommand line
Micro Agent's Core Features
AI-powered code generation and iteration
Test-driven development approach
Supports multiple LLM providers (Claude, OpenAI, Ollama, Groq)
Interactive mode for guided code generation
Unit test matching for code verification
Experimental visual matching for design adherence
Configurable API keys and models
Customizable maximum run attempts
Integration with Visual Copilot for Figma-to-code conversion
Command-line interface for configuration and execution
Getting Started with Micro Agent
Install: Run `npm install -g @builder.io/micro-agent`
Configure API Key: Use `micro-agent config set OPENAI_KEY=<your token>` or `micro-agent config set ANTHROPIC_KEY=<your token>`
Set Model: Use `micro-agent config set MODEL=<model name>` (e.g., `gpt-4o`, `claude-3-5-sonnet-20241022`)
Run Interactively: Execute `micro-agent` and follow prompts
Run with Tests: Use `micro-agent <file path> -t "<test script>"`
Run with Visual Matching: Use `micro-agent <file path> --visual <url>` (requires Anthropic API key)
Micro Agent's Use Cases
- Automated Code Refinement
- Test-Driven Development Assistance
- Rapid Prototyping
- Reducing Manual Debugging
- Design-to-Code Implementation
- LLM Code Generation Improvement
- Developer Productivity Boost
