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 ...

Pull request volume is up, cycle times are down and engineers are shipping more in a week than they used to manage in a month. Our engineers ship an average of 10 PRs a week, with each often larger in ...

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 ...

People have marketed the promise of AI and software development as a way to increase speed. Despite the benefits of auto-complete tools, someone still has to fix what breaks. Debugging drains hours ...

AI coding feels magical when features appear in minutes. Then a stubborn bug exposes the hidden reality: building dependable ...

Even with AI, Torvalds seems to want a hands on approach.

AI-based coding has exploded in popularity on the promise that it will make developers’ jobs faster and easier. But AI coding has also resulted in something else: a vast increase in lines of code, and ...

Ever feel like you’re spending more time squashing bugs than actually building something? You’re not alone—developers spend a whopping 35% of their time debugging and reviewing code instead of writing ...

Imagine waking up to find that while you slept, a complex feature for your app was not only coded but also tested and debugged, all without your direct involvement. This isn’t a scene from a sci-fi ...

Every stage of semiconductor development takes longer and requires more effort with each new generation of chips. At no stage is this more apparent than functional verification. Industry consensus is ...

Nearly half of the code that AI assistants write for software teams breaks once it hits real users. That is the central finding of a survey released in April 2026 by runtime observability company ...