AI is increasingly used to debug regular programs written by humans. Because of AI's inherent pattern-recognition capability, it can sometimes locate a bug quicker than a human programmer. However, as ...

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 Still Struggles to Debug Code, But for How Long? Many of the world's most popular AI tools, such as those from OpenAI and Anthropic, are not yet debugging pros, according to Microsoft Research, but ...

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 ...

Mark Williamson, CTO at Undo, builds agentic debugging to fix complex non-deterministic bugs — likes to remind computers who’s in charge. Last year, enterprises spent about $4 billion on AI coding ...

AI promises a huge revolution for developers, but is it just for code creation? Popular AI models from Anthropic and OpenAI aren’t great at debugging Microsoft’s researchers are open-sourcing their ...

In 2020 a study showed the IT industry spent an estimated $2 trillion in software development associated with debugging code. The study also showed that 50 percent of IT budgets were allocated to ...

When an AI algorithm is deployed in the field and gives an unexpected result, it’s often not clear whether that result is correct. So what happened? Was it wrong? And if so, what caused the error?