Overview

Stop wasting time manually writing docstrings and renaming variables. In this hands-on codelab, you will build a "Self-Healing Codebase" agent that acts as a real-time partner in your development environment. You’ll learn how to bridge the gap between local development and cloud-based AI by using Python to watch for file changes and Relevance AI to perform complex code reasoning. What you will build: A custom Relevance AI Tool that understands messy, "spaghetti" code. An event-driven Python worker that monitors your directory. A workflow that automatically refactors code, adds professional documentation, and renames variables for clarity—all triggered by a simple comment. Key concepts you'll master: Agentic Workflows: Moving beyond chatbots to autonomous workers. File-System Watchers: Using Python's watchdog to trigger AI tasks. Prompt Engineering for Code: Crafting instructions that ensure the AI returns clean, executable scripts without conversational filler. By the end of this tutorial, you'll have a functional AI "teammate" that cleans your code as you write it.