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 ...

In many a school auditorium, a theater kid could be spotted sitting cross-legged with a peanut butter and jelly sandwich, surrounded by peers who had just belted their way through the entire Hamilton ...

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 ...

Hidden away in your Android phone's developer settings is a powerful feature called USB debugging. It's a special mode that opens a direct line of communication between your smartphone and a computer, ...

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 ...

AI models from OpenAI, Anthropic, and other top AI labs are increasingly being used to assist with programming tasks. Google CEO Sundar Pichai said in October that 25% of new code at the company is ...

The ongoing proliferation of AI coding tools is not only boosting developers’ efficiency, it also signals a future where AI will generate a growing share of all new code. GitHub CEO Thomas Dohmke ...