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.

Nvidia, Qualcomm, and Altera among the first to trial EDA giant's AI chip design agent The idea of machines that can build even better machines sounds like sci-fi, but the concept is becoming a ...

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 ...

It's 2025 and coding has entered its "just vibes" era. No more squinting at semicolons or manually debugging a rogue command chain, now you just tell an AI what you want and pray it doesn’t ...

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 ...

Microsoft unveiled a suite of AI-powered debugging and profiling tools for .NET developers, integrating GitHub Copilot directly into Visual Studio's diagnostic workflow. The recently announced Copilot ...

As companies move to more AI code writing, humans may not have the necessary skills to validate and debug the AI-written code if their skill formation was inhibited by using AI in the first place, ...

Perplexity might not be the first choice as a coding assistant, given the numerous competitors like Cursor, Bolt, V0, and ChatGPT. However, Perplexity, an advanced AI-powered search engine, is ...

The semiconductor industry has spent decades mastering the art of integrated circuit physical verification. But as system-on-chip (SoC) designs push the boundaries of complexity—with more transistors, ...