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 ...

Advanced debug logging is the cornerstone of high-performance applications. Whether working in cloud-native, microservice or monolithic architecture, strong debug logging practices enable developers ...

What if you could delegate the most tedious parts of your coding workflow to specialized assistants that never lose focus, make fewer mistakes, and adapt seamlessly to your needs? Enter Claude Code ...

There’s a particular kind of challenge that doesn’t get talked about enough in development circles: being handed a broken system, no documentation, no context, and being told, “Can you figure this out ...

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 ...

Debugging and profiling are critical skills in a developer's toolbox, especially when working with low-level system applications. Whether you're tracking down a segmentation fault in a C program or ...

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 ...

There are few areas where AI has seen more robust deployment than the field of software development. From “vibe” coding to GitHub Copilot to startups building quick-and-dirty applications with support ...

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) ...

Microsoft Research has introduced debug-gym, a novel environment designed to train AI coding tools in the complex art of debugging code. As AI’s role in software development expands, debug-gym aims to ...