BuilderIO/micro-agent
Micro Agent
Micro-agent es un framework para agentes impulsados por IA centrado en el desarrollo guiado por pruebas automatizado, conversión de diseño a código y orquestación de herramientas externas. Utiliza agentes que escriben, prueban y refinan iterativamente el código fuente basándose en prompts de lenguaje natural y archivos de diseño.
El sistema transforma tokens de diseño visual y componentes en código con tipos seguros y linted comparando URLs en vivo contra capturas de pantalla de referencia para garantizar la paridad visual. También proporciona un protocolo para vincular agentes a servicios externos de comercio, búsqueda y gestión de activos para sincronizar datos y expandir las capacidades funcionales.
El proyecto cubre capacidades para la generación iterativa de código y pruebas automatizadas, donde los archivos fuente se modifican repetidamente hasta que pasan scripts de prueba específicos. Incluye soporte para conectores del Protocolo de Contexto de Modelo (Model Context Protocol) y una interfaz de línea de comandos para gestionar ajustes operativos y selección de modelos.
Features
- Code Generation Agents - Implements an AI agent that iteratively writes, tests, and refines source code from natural language prompts and design files.
- Test-Driven Repair Loops - Iteratively modifies source code based on test execution failures until success criteria are met.
- Agent Tooling Protocols - Uses standardized communication specifications to connect agents to external tools and data sources.
- AI Agent Tool Integrations - Connects AI models to external commerce and asset management APIs for functional task execution.
- External Service Integrations - Provides a protocol for connecting AI agents to external commerce, search, and asset management services to expand their functionality.
- External Tool Integrations - Connects AI agents to external commerce, search, and asset management services to expand functional capabilities.
- MCP Protocol Integrations - Links AI agents to external tools and data sources using the Model Context Protocol.
- Iterative Generative Coding - Transforms natural language prompts into functional source code through an iterative development process.
- Prompt-Based Code Synthesis - Translates natural language descriptions and visual designs into functional source code and styling through iterative synthesis.
- External System Synchronization - Synchronizes data and operational workflows with third-party commerce and asset management systems.
- Test-Driven Automated Repairs - Modifies source files repeatedly based on test failure to ensure code correctness and stability.
- Test-Driven Development Workflows - Automatically modifies source files in a repetitive cycle until a specified test script passes.
- Design-to-Code Converters - Automates the translation of design tokens and components into linted, type-safe frontend code.
- Natural Language Prototyping Tools - Converts natural language descriptions into functional prototypes through iterative development cycles.
- Visual Render Feedback - Refines generated code by comparing live URL renders against reference screenshots for visual parity.
- Design Token Transformers - Transforms design file tokens and components into codebase-compliant, type-safe code.
- Visual Design Iteration Tools - Adjusts code based on visual comparisons between a live URL and a reference screenshot.
