AgenticDev: a multi-LLM framework for generating tested code
📰 Dev.to · Hamdi Mechelloukh
Learn how to design a multi-LLM framework for generating tested code using AgenticDev, a pipeline of 4 specialized LLM agents
Action Steps
- Design a pipeline of specialized LLM agents using LangGraph
- Implement prompt caching to optimize agent performance
- Develop an automatic fix loop to handle errors and exceptions
- Integrate the LLM agents with a testing framework to validate generated code
- Configure the pipeline to generate tested code for specific programming tasks
Who Needs to Know This
Software engineers and AI researchers can benefit from this framework to automate code generation and testing, improving development efficiency and accuracy
Key Insight
💡 A multi-LLM framework can be designed to generate tested code by leveraging specialized agents, prompt caching, and automatic fix loops
Share This
🚀 Introducing AgenticDev: a multi-LLM framework for generating tested code! 🤖
Full Article
How I designed a pipeline of 4 specialized LLM agents with LangGraph, prompt caching and automatic fix loop.
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