Artificial Intelligence | News, analysis, features, how-tos, and videos
The strongly-typed language recently overtook both JavaScript and Python as the most used language on GitHub, with the rise is attributed to demand for AI-assisted development.
Thanks to new subscription plans and Chinese open-weight models, developers can have high-quality code generation on the cheap. Here are your best options.
A six-step framework for building a production-ready AI agent that handles those repetitive tasks you don’t want your IT team spending their days on.
ExecuTorch 1.0 allows developers to deploy PyTorch models directly to edge devices, including iOS and Android devices, PCs, and embedded systems, with CPU, GPU, and NPU hardware acceleration.
Think of continuous batching as the LLM world’s turbocharger — keeping GPUs busy nonstop and cranking out results up to 20x faster.
The explosion of AI tools means fewer programming jobs and more competition. Here’s why experts say some programming certifications are still worth your time.
Developers aren’t waiting while leadership dithers over a standardized, official AI platform. Better to treat a platform as a set of services or composable APIs to guide developer innovation.
With Sky, OpenAI aims to automate workflows across macOS apps, joining rivals Anthropic and Google in the race to bring agentic AI to everyday computing.
Monarch framework, currently experimental, allows Python programmers to program distributed systems as if they were just one machine.
Developers reported increased productivity, faster completion of regular tasks, and less time spent searching for information as the top benefits of using AI tools.