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 ...

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 ...

The AI-assisted editor now works alongside the platform's MCP server and interactive documentation, giving developers plain-language code generation, debugging, and reference lookup across a single ...

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 ...

It feels like it has gotten so common to ask an AI to fix your mistakes since it's easier than debugging. That's okay in most cases, but you need to go to the right AIs. I tested a few of them to see ...

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.

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 ...

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, ...

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 ...

Large language models (LLMs) seemed to arrive in a flash. Monumental productivity gains were promised. Coding assistants flourished. Millions of multi-line code blocks were generated with a key press ...