From fitness equipment to voice AI agents to autonomous debugging, our latest Startup Radar spotlight features Seattle-area founders solving problems… Read More ...

Anthropic research shows developers using AI assistance scored 17% lower on comprehension tests when learning new coding libraries, though productivity gains were not statistically significant. Those ...

In an AI-powered world where models learn, adapt and behave unpredictably, traditional monitoring capabilities are insufficient. If our applications are getting smarter, shouldn't our observability ...

Today companies such as OpenAI, Anthropic, Microsoft and Google have all released AI products geared specifically to coding. ...

AI-driven coding promised speed, but its code often fractures under pressure, leaving teams to carry the weight of failures that slow products and raise real costs. Buoyed by the rise of AI, many ...

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's Visual Studio February Update (18.3) adds new Copilot agents and workflows for WinForms guidance, test generation, call stack analysis, profiling with unit tests, C++ modernization, and ...

Siemens has introduced the Questa One Agentic Toolkit, adding domain-scoped agentic AI workflows to its verification ...

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.

AI doesn’t just simulate human thinking and language—it mimics our cognitive biases too. Overconfidence is one of the most powerful and overlooked issues.