Micro Agent
M
Micro Agent
Overview :
Micro Agent is an AI code assistant that can automatically write code based on test cases or design screenshots until the test passes or the design matches. It primarily addresses issues that require repetitive iteration to fix the code, reducing the manual iteration process through AI technology. Micro Agent focuses on writing tests and generating code that passes the tests, rather than trying to be a full-stack developer. It integrates with Visual Copilot, allowing direct connection to Figma, ensuring a high-fidelity conversion from design to code.
Target Users :
Micro Agent is targeted towards developers, especially front-end developers who frequently write and test code. It automates the code writing and testing process, helping developers save time, reduce repetitive tasks, and improve development efficiency. It is also suitable for designers who want to quickly convert their designs into code.
Total Visits: 492.1M
Top Region: US(19.34%)
Website Views : 57.4K
Use Cases
Developers use Micro Agent to automatically write front-end page code, increasing development speed.
Designers use Micro Agent to quickly generate corresponding front-end code after designing a page in Figma.
Teams use Micro Agent for continuous integration, automating the testing and code generation process.
Features
Automatically write code based on test cases until the test passes.
Supports visual matching functionality, comparing with design screenshots and adjusting the code.
Integrates OpenAI and Anthropic APIs to improve the accuracy of code generation.
Supports Figma integration, enabling precise design-to-code conversion.
In interactive mode, improve generated code based on user feedback.
Supports configuring CLI parameters such as maximum run count and used models.
How to Use
1. Install a Node.js environment.
2. Integrate the Micro Agent plugin into your project.
3. Configure OpenAI and Anthropic API keys.
4. Prepare test cases or design screenshots.
5. Run Micro Agent and specify the test script and visual matching URL.
6. Adjust the generated code based on the feedback until it meets your needs.
7. Integrate the generated code into your project.
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