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 ...

Microsoft unveiled a suite of AI-powered debugging and profiling tools for .NET developers, integrating GitHub Copilot directly into Visual Studio's diagnostic workflow. The recently announced Copilot ...

In an AI-powered world where models learn, adapt and behave unpredictably, traditional monitoring capabilities are insufficient. If our applications are getting smarter, shouldn't our observability ...

Imagine this: you’re in the middle of an important project, juggling deadlines, and collaborating with a team scattered across time zones. Suddenly, your computer crashes, and hours of work vanish in ...

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 ...

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 ...

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 ...