Event-driven architectures let software react to events in real time, with services publishing signals like “order placed” or “payment completed” that other services can subscribe to and act on. The ...

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 ...

Google now has three AI CLIs for different workflows. Gemini CLI handles fast, interactive coding in the terminal. Jules Tools brings cloud autonomy into command-line control. Last week, Google ...

Sometimes, reading Python code just isn’t enough to see what’s really going on. You can stare at lines for hours and still miss how variables change, or why a bug keeps popping up. That’s where a ...

What if your code could think beyond syntax, anticipating bugs, predicting outcomes, and even reasoning through complex problems? Enter Meta’s Code World Model (CWM-32B), a innovative leap in ...

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 ...

As they ask in the computer world, is it a feature or a bug? In fact, it's both! Most of us are somewhere in between feature and bug, which usually works well enough to get us through the day, ...

So, you’re looking to speed up your OpenFOAM simulations? That’s where Graphics Processing Units (GPUs) come into play. These aren’t just for gaming anymore; they’re powerhouses for heavy computation.

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 ...