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 ...

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

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 ...

Lovable makes extensive use of AI to help anyone create, and publish web apps with ease.

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

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 ...

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 ...

What if the coding assistant you choose could make or break your workflow? With the rise of AI-powered tools like Claude Code and ChatGPT 5 Codex, developers are now navigating a landscape where their ...

AI is generating code faster than humans can ever hope to verify. If your QA strategy hasn't evolved to match the speed of AI generation, your systems are living on borrowed time.

In a fascinating glimpse into the immediate future of software development, Anthropic recently revealed that its AI model, Claude, is now writing the vast majority of the company’s production code.