I’m retired now, but for 30 years I debugged problems in bleeding-edge IBM processors, horizontal microcode, firmware, software and hardware. Then for another nine years I debugged problems in ...
I am Boris Dobretsov, and this is the sixth part of a series Understanding Parallel Programming: A Guide for Beginners. Executing multiple code blocks in parallel may seem straightforward. However, ...
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 ...
The Multithreading Debugging Library is a powerful Java-based tool designed to help developers detect, analyze, and debug multithreading issues such as deadlocks, race conditions, and thread execution ...
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, ...
Malcolm loves games. Be they trading card games like Magic: the Gathering or Yu-Gi-Oh, or tabletop wargames like Heroscape and Warhammer 40K, Malcolm's got a firm passion for all things interactive.
I've never been so happy to see a spike trap as I was in Debugging Hero. At the start of each combat encounter, the demo for this roguelite hack n' slash hands you several numeric cards and lets you ...
Fully autonomous teams of LLM-powered AI agents are emerging that collaborate to perform complex tasks for users. What challenges do developers face when trying to build and debug these AI agent teams ...
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 ...