Smooth developer experience is fundamental in artificial intelligence designs. Development toolkits can streamline the preparation of trained neural networks for edge and low-latency data-center ...

AI agents are no longer limited to research projects. They now operate in real-world systems where they manage automation, ...

GitHub unveiled an open-source dev kit designed to help developers adopt spec-driven development with AI tools such as GitHub Copilot, Claude Code and Gemini CLI, moving beyond quick "vibe-coding" ...

The digitalization of devices and services used in homes, buildings, and cities has introduced significant benefits for users, such as increased efficiency, reduced energy waste, increased flexibility ...

A common use case in generative AI is developing an agent, which is a system users interact with in plain language to accomplish a given task. Creating AI agents can require a lot of heavy lifting, ...

What if the key to unlocking smoother, error-free software development lies not in writing more code, but in writing better plans? In a world where coding agents like ...

At the heart of Microsoft’s AI application development strategy is Semantic Kernel, an open source set of tools for managing and orchestrating AI prompts. Since its launch as a way to simplify ...

Microsoft Corp. said today it’s advancing the local artificial intelligence development capabilities of Windows, as part of an effort to help developers build and experiment and reach new users with ...

Which wireless IoT kits are designed for advanced multiprotocol and Matter-ready projects? How today’s boards integrate debugging, sensors, and AI into a single platform. Why newer dev kits are ...

How modern IoT kits combine BLE, Zigbee, Thread, LoRa, and Wi-Fi on a single board for multiprotocol testing. Why current boards focus on power efficiency, edge intelligence, and toolchain support ...