Codebase Chaos to Clean Architecture: How AI Helped Us Refactor a Flask Monolith

Is your codebase a ticking time bomb of bugs, tech debt, and spaghetti logic? You’re not alone.

In this video, we dive into why codebases always get messy — from rapid growth to different coding styles and just plain old procrastination. And when it’s finally time to refactor? It's like playing Jenga with your product. One wrong move, and… boom. But here's the good news: AI isn’t here to replace developers — it’s here to supercharge us. Especially when the code looks like a battlefield.

💡 In one of our real-world projects, we took a legacy Flask monolith with tangled logic and no documentation, and used AI to:

   ✅ Refactor & restructure with Application Factory Pattern + Blueprints

   ✅ Add an Automated Testing Layer

   ✅ Identify hidden bugs and fragile database dependencies

   ✅ Catch a sneaky bug that had been hiding for months related to sqlalchemy.exc.InvalidRequestError & sqlalchemy.exc.OperationalError: (sqlite3.OperationalError)

   We also break down how combining the Application Factory and Blueprint patterns makes your Flask apps scalable, modular, and production-ready.

🔥 If you’re stuck in refactor hell or drowning in bugs, let AI lend a hand — your future self will thank you.

https://www.youtube.com/watch?v=8WK8-ju-s10