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

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-native development is changing how engineering teams create value. Here's why traditional productivity frameworks are no ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

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 ...

New root cause analysis technology gives AI coding agents the ability to diagnose application failures and deliver actionable debugging insights with less developer involvement.

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 ...

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 ...

Tokens are the basic units AI models use to process text. They can be whole words, parts of words, numbers or punctuation.

In a fascinating glimpse into the immediate future of software development, Anthropic recently revealed that its AI model, ...

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 ...