Debugging & Optimization
Learn effective strategies for debugging and optimizing code generated through vibe coding.
What You'll Learn
Description
AI can write a working feature in seconds, but the moment something breaks you still have to understand why. This tutorial teaches the durable debugging and optimization skills that make vibe coding reliable: reading what the runtime is actually telling you, reproducing and isolating failures, and giving the AI the precise context it needs to fix the bug instead of guessing.
Every chapter pairs a concept with a real artifact you'll actually encounter — an annotated stack trace, a labeled console.log trail, a focused AI fix prompt, a profiler reading — and ends with a practice exercise that has a worked sample answer. You build the workflow by running it, not by reading about it.
By the end you'll have a repeatable workflow for turning a vague "it doesn't work" into a specific, fixable problem, and for making slow code fast based on measurement rather than hunches.
What's inside
- 1.The Debugging Mindset — treat failure as a search, and how AI changes the loop
- 2.Reading What Breaks — error messages, stack traces, console logging, reproducing bugs
- 3.Isolating & Explaining — binary search, common bug classes, debugging with AI
- 4.Optimize & Verify — performance profiling, real optimizations, verifying fixes
