AI Meets WinDBG

Summary

Old Meets New: Bringing Crash Analysis into 2025Let's face it - while the rest of software development has evolved at warp speed, crash dump analysis feels like it's been preserved in digital amber for decades. We've got self-driving cars and pocket-sized supercomputers, yet here we are, still pecking away at command prompts like it's the dawn of the internet. Why is debugging the only area where we cling to tools that look like they belong in a computer history museum?Picture this: You, a professional software engineer in 2025, hunched over a terminal, manually typing arcane commands like !analyze -v and .ecxr, squinting at hexadecimal memory addresses, and mentally translating stack traces. All while your friends in other industries are delegating their work to AI assistants that can write entire documents, create art, or automate complex workflows.Something's wrong with this picture, right?What if I told you we can throw that ancient workflow into the dustbin of computing history? That's exactly what I've done. And I'm not talking about slightly better syntax highlighting or prettier UI for WinDBG. I'm talking about a fundamental transformation where you simply have a conversation with your debugger.When Inspiration StrikesDuring a debugging session at work, I had one of those lightning bolt moments. What if - and stick with me here - we could apply the same AI-assisted "vibe coding" approach to crash dump analysis?Picture this: instead of manually slogging through memory dumps and command outputs, you simply ask, "Hey, why did this application crash?" and get an intelligent, contextual answer that actually helps you solve the problem.The idea was too compelling not to pursue. So I built it.See It In Action: AI-Powered Crash AnalysisBefore diving into the technical details, let me show you what this looks like in practice. I have prepared a demo application to showcase two different use cases:Video 1: Crash Analysis and Automated BugfixIn this video, I show how C...