Overview Programming languages are in demand for cloud, mobile, analytics, and web development, as well as security. Online ...

AI coding assistants and agentic workflows represent the future of software development and will continue to evolve at a rapid pace. But while LLMs have become adept at generating functionally correct ...

Imagine starting your day with a quick, digestible summary of the most important tech conversations happening on Hacker News. That’s the promise of a daily tech update. These digests cut through the ...

Finding the right book can make a big difference, especially when you’re just starting out or trying to get better. We’ve ...

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...

Python -O won’t magically make every script faster, but in the right workloads it’s a free win—here’s how to test it safely.

This desktop app for hosting and running LLMs locally is rough in a few spots, but still useful right out of the box.

Nearly two-thirds of Java users surveyed rely on Java for developing AI applications, with JavaML, Deep Java Library, and OpenCL being the most-used libraries.

How modern infostealers target macOS systems, leverage Python‑based stealers, and abuse trusted platforms and utilities to ...

OpenAI has launched a new Codex desktop app for macOS that lets developers run multiple AI coding agents in parallel, ...

Switching between IDE, terminal, and app keeps context across tools.