I use AI less like a programmer and more like a teammate.

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 ...

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 ...

AI can help teams move faster, but speed alone does not solve the harder problem of understanding what has actually been ...

Human engineers need incentives, structure, ongoing training and timely feedback to adopt the fundamentally different ways of ...

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 ...

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 ...

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 ...

Microsoft announced agent debugging functionality for Microsoft 365 Copilot directly from the AI tool itself, no Visual Studio 2022 or Visual Studio Code needed. Agentic AI is dominating AI these days ...

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 ...

Meta says its latest AI model is faster, smarter, and better at coding, reasoning, and handling long, complex tasks.

The platform brings multiple creative and productivity tools into one free AI workspace for creators, students, ...