Using Gemini to Find and Explain Python Bugs

Debugging can be one of the most frustrating parts of writing software, but you do not have to hunt down elusive errors alone. By using Gemini as an intelligent coding partner, you can quickly locate bugs, understand why they occur, and learn how to resolve them. This text-only course guides you through the process of using AI to diagnose issues in your Python applications. You will learn how to feed code snippets and error logs to Gemini, interpret its explanations, and apply reliable fixes to your codebase. What you'll learn: 1. Understand foundational debugging concepts and how generative AI assists in modern software development. 2. Formulate effective prompts to help Gemini pinpoint logic errors in Python classes and functions. 3. Analyze AI-generated explanations of critical bugs, such as issues with JSON serialization and file exports. 4. Evaluate and verify AI suggestions to ensure they align with Python best practices and type hinting. 5. Write basic unit tests using pytest to confirm that your newly applied fixes actually resolve the underlying issue. You will start by exploring basic terminology and the principles of AI-assisted debugging. From there, you will read through realistic scenarios, analyzing how Gemini identifies bugs in python export scripts and learning how to safely implement the proposed solutions. This course is designed for beginner Python developers who want to speed up their troubleshooting process using AI, with no prior experience with generative AI tools required. Start reading today and transform how you debug your Python programs.