How I Debug Large Apps Using AI Agents & Code Snapshots | Save Tokens & Improve Code

In this video, I show you the exact method I use to debug very large Python codebases quickly and efficiently using AI agents and code snapshots. You'll learn: How to create a lightweight .md snapshot of your entire codebase (22,000+ lines!) How to feed this to Gemini Studio and generate actionable improvement plans How to combine multi-agent AI feedback into a single optimised to-do list How to save tokens/credits while improving your code quality The surprising difference between Gemini Studio and the Gemini App My personal workflow for debugging and refactoring large apps with AI This approach has saved me hours of manual code review and helped me improve my multi-agent AI application — and it can help you too. ⚠️ Important: Do not upload confidential code to any cloud-based tool without checking your company’s security policy. If you found this video helpful, please like and subscribe for more tips on using AI in software development! #AI #Gemini #MultiAgent #Debugging #Python #CodeQuality #LLM #TokenSaving