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 ...

I ditched my terminal for Claude's built-in code executor, and I'm not going back.

AWS has challenged the assumption that AI-generated code always improves productivity, arguing that software teams often face ...

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 ...

That moment forced a question I've been sitting with since. Are we choosing AI coding tools, or are AI coding tools choosing ...

AWS argues that AI-generated code doesn't always boost productivity, highlighting challenges in testing, debugging, deployment, and long-term application maintenance.

Black Duck, provider of AI-powered application security solutions, has released The State of AI-Powered Software Development ...

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, ...

The work that remains, and continues to demand investment, includes system architecture, domain expertise, the relational ...

As the percentage of coding completed or assisted by AI increases, the risks of that code failing rises. Risks include ...