Self-Healing Code

How it works:
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• Create a workflow for GitHub actions that triggers our healing job when the build command fails.This should pass the error log from the build to the healing job.(Note to self: it's certainly useful to implement a limit to retry mechanisms)
• Create your python script to run when the build fails and read the error log file on it.
• Create your human prompt template and pass it to the LLMChain.Mine goes something like this: "Can you find the filename where this error comes from: {error}?  If you do, please reply with the path to the file ONLY, if not please reply with no."
• Run the LLMChain to return the pathname and check if the filename was detected. Then read the contents of the file.
• We want to make sure GPT returns meaningful, structured code, so I created a ResponseSchema that contains if a fix was found and the fixed content.
• Create a prompt template with your structured response schema and the request for GPT to fix the code.
• Run the LLMChain again with the prompt and parse it using your created OutputParser.
• Write the returned code to the file and commit using the action.
• This is an early prototype and works on single file errors only for now, but the potential to improve CI/CD pipelines and implications to DevOps is huge.