Automating Error Detection and Solution Suggestions in CI/CD using AI

Hello Everyone

I recently embarked on an exciting journey to integrate AI into my Continuous Integration and Continuous Deployment (CI/CD) pipeline. I wanted to share my experience and solution with you all.

The Problem

When our CI system builds the project, errors can occur, and it’s essential to have a deeper understanding of the failures and potential solutions. I was using Jenkins Pipeline for an Ansible role and performed Ansible-lint, but encountered some non-obvious errors.

The Solution

To tackle this, I wrote a Python program to capture errors and leverage ChatGPT AI to fetch possible solutions, then integrated this program into the pipeline to create Github issues with error details and suggested solutions.

Here’s a high-level overview of the process:

1. Jenkins Pipeline: Build the project and run Ansible-lint.
2. Error Capture: Python program captures errors and sends them to ChatGPT AI.
3. AI-powered Solution Suggestions: ChatGPT AI provides possible solutions for the errors.
4. Github Issue Creation: The pipeline creates Github issues with error details and suggested solutions.

By automating error detection and solution suggestions, we can streamline our CI/CD process and make it more efficient. I hope this helps you in your own CI/CD journey!

Example Github Issue: https://github.com/hemanth22/ansible-role-terraform/issues/15

Here is the output of Jenkins Pipeline