Analyze stack traces and error messages with AI

- [Instructor] Stack traces can be overwhelming, especially when you're dealing with nested exceptions. Let's look at how the JetBrains AI assistant can help you quickly decode error messages. It can turn what used to be hours of debugging into minutes of targeted problem solving. Let me show you a realistic scenario. Here, I'm working on a Java inventory management system and there's an error blocking my progress. This null pointer exception is happening in a background thread, making it even trickier to debug. The stack Trace tells us where the error happened, but not why. Let's see how AI can help us understand what's really going on. The AI assistant identifies the null pointer exception is happening in the stock processor. But here's where it gets really powerful. It's suggesting that this might be related to missing data in the batch operations or uninitialized objects. In fact, it even gives us a solution we can apply directly to our code. From here, you can ask follow-up questions like, how can I add defensive programming to prevent null values and batch processing? Or you can ask, should I be using optional to handle potentially missing inventory data? This can help you better understand the issue so it doesn't happen again. The key is to engage with the AI, not just copy and paste a solution. Show it to rephrase. The key is to engage with the AI, not just copy and paste a solution. Show it your code, ask follow-up questions and use AI as a debugging partner.