From the course: Accelerate DevOps and Software Development with AI: Modern Tools and Workflows for Enhanced Software Delivery

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Debugging in the age of AI

Debugging in the age of AI

From the course: Accelerate DevOps and Software Development with AI: Modern Tools and Workflows for Enhanced Software Delivery

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Debugging in the age of AI

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- There's something really satisfying about fixing a bug. That moment when the logs finally make sense and your code works again, (snaps fingers) that aha moment, is one of the best parts of being a developer. And while AI tools have started to change how we debug, debugging itself isn't going away. It's still one of the most important skills a developer can have. Today, tools like ChatGPT and Copilot can summarize long stack traces, suggest possible fixes, even write test cases. I want you to think back to the last time you attempted to debug with AI. Maybe you got an error message you've never seen before. It's 10 lines long and full of references to libraries you barely know. You paste that into chat GPT and ask, "What does this mean?" It gives a solid explanation and some steps to try. None of the suggestions work though, until you decide to logically think through your application and its various components, and ta-da,…

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