Overview

This repository is an experimental project aimed at creating a self-healing code GitHub action pipeline. The project utilizes Langchain and Openai to identify, analyze, and fix errors in a codebase automatically, triggering the healing process upon failure during the build action. The workflow is language agnostic and focuses on single file errors at the moment.

Features

Self-healing code GitHub Action pipeline: Automatically triggers healing process upon build failure.
Language agnostic workflow action: Works across different programming languages.
LLM chain for error identification and correction: Determines the location and nature of the error and writes the fix to the file.
Commit changes back to the repository: Automatically commits the fixes back to the repository.
Future development possibilities: Indicates potential future enhancements and features for the project.

Summary

This experimental repository showcases a self-healing code GitHub action pipeline that aims to automate error detection and correction in a codebase. By utilizing Langchain and Openai technologies, it demonstrates the potential for self-healing systems in software development. The project's future development includes enhancing support for multiple files, retry limits, and improved test coverage, making it an intriguing prospect for research and contributions in the field of automated code repair.

Xpluscal

Selfhealing Action Express

Sveltekit Langchain Boilerplate