Automating QA Like a Pro: How I Built an AI-Driven Testing Pipeline Using Python

My journey building autonomous quality assurance inside a CI/CD pipeline using Python, pytest, and OpenAI’s API.

Ford Lucas

5 min read

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Oct 17, 2025

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1) The Day I Got Tired of Clicking “Run Tests”

After years of manually running tests, fixing flaky ones, and rerunning pipelines, I realized something fundamental: humans shouldn’t be in the testing loop — ever.

That’s when I decided to automate everything — not just running tests, but thinking about tests.

This project was born out of a simple question:
Can I make my tests smart enough to adapt, repair, and even generate themselves during CI/CD execution?

Spoiler: Yes, with Python, AI, and a bit of chaos engineering.

2) Designing the Autonomous Testing Architecture

Before writing code, I mapped the flow:

1. Detect code change → via Git hook or CI event.
2. Run AI test generator → uses OpenAI API to create or update tests dynamically.
3. Execute pytest suite → run the newly updated test set.