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 ...

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.

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 ...

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 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 ...

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

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 ...

With the rising popularity of AI, particularly Large Language Models (LLMs), there has been a lot of talk about bias. Since AI is made by humans, our cognitive shortcomings can easily creep into AI ...