How to Create a Self Healing Code Agent

Code generation is one of the most common use cases we see with LLMs, but how do you improve the accuracy and performance of the code generated by your code agent? In this video, we demonstrate how you can create a reflection step in your architecture to validate or improve its generated code, before returning a response. OpenEvals: https://github.com/langchain-ai/openevals Mini Chat LangChain: https://github.com/jacoblee93/mini-chat-langchain/tree/main 0:00 Introduction 1:00 OpenEvals code evaluator introduction 3:32 Example implementation of reflection step in the loop - Mini Chat LangChain