There are few areas where AI has seen more robust deployment than the field of software development. From “vibe” coding to GitHub Copilot to startups building quick-and-dirty applications with support ...

In context: Some industry experts boldly claim that generative AI will soon replace human software developers. With tools like GitHub Copilot and AI-driven "vibe" coding startups, it may seem that AI ...

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 ...

Microsoft announced agent debugging functionality for Microsoft 365 Copilot directly from the AI tool itself, no Visual Studio 2022 or Visual Studio Code needed. Agentic AI is dominating AI these days ...

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 ...

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.

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?

Application programming interface management company Kong Inc. is expanding support for autonomous artificial intelligence agents with the latest release of Insomnia, its open-source API development ...