Survey data shows 43% of AI-generated code fails in production, forcing developers to spend more time debugging and deepening ...

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 ...

Ryz Labs has released its 2026 rankings of AI coding assistants, assessing their debugging capabilities, integration, and overall value. The guide reports that effective use of tools like GitHub ...

Code generation has become the poster child for AI use cases. There’s just one problem: Writing new code was never the ...

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 ...

The software development landscape is experiencing a seismic shift. Recent research I conducted reveals that artificial intelligence (AI) systems can now systematically identify and resolve complex ...

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 ...

Visual Studio 2026 18.5 arrives with two headline changes – a smarter code suggestion system and an AI-powered debugger. Yet ...

Encountering coding errors in artificial intelligence (AI) projects can feel overwhelming, but a structured approach can transform the troubleshooting process into a manageable and efficient task.

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 ...