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As software systems grow more complex and AI tools generate code faster than ever, a fundamental problem is getting worse: Engineers are drowning in debugging work, spending up to half their time ...

Bugs show up, eat all your time, and gaslight you into thinking you are the problem. You’re not. You just solved that problem a few commits ago, but now it’s harvest season again. Half the bugs you ...

Encountering the “application has made an attempt to load the C runtime library incorrectly” error (R6034) in Windows 11 can be a frustrating experience, often ...

AI-based coding has exploded in popularity on the promise that it will make developers’ jobs faster and easier. But AI coding has also resulted in something else: a vast increase in lines of code, and ...

Even though AI can generate code, it is hard to trust it unless you debug the code before implementing it. That is why in this post, we are going to talk about the Debug-Gym tool from Microsoft ...

In context: Some industry experts boldly claim that generative AI will soon replace human software developers. With tools like GitHub Copilot and AI-driven "vibe" coding startups, it may seem that AI ...

Despite significant progress in code generation and completion, AI coding tools continue to face challenges in debugging—an integral part of software development. While large language models (LLMs) ...