Every year, aspiring student coders from all over the world join the Apple Swift Student Challenge. From the best entries, a ...

The dates for the 2026 Florida Python Challenge are set. Here's how last year's winner captured a whopping 60 pythons for the $10,000 grand prize.

I built a coding tutor that won't let me cheat my way through it. Here's the prompt.

Python’s versatility, speed, and rich ecosystem of libraries have made it the go-to language for industries from data science to automation. With countless learning paths and platforms, anyone can ...

Dirk Tomic, who spent three years creating games with Unity and never doubted he was a developer, says that 'one question made me realize I wasn't a developer,' and explains how he had been learning ...

Vibe coding has sparked a technological revolution, and has produced some of the fastest-growing products in the history of tech, including Claude Code, Codex, Lovable, and Replit. Vibe coding is the ...

This article is part of AI Week. Since the start of the current wave of excitement around generative AI, coding has been viewed as a field that is ripe for implementation of the tech. After all, the ...

In the era of A.I. agents, many Silicon Valley programmers are now barely programming. Instead, what they’re doing is deeply, deeply weird. Credit...Illustration by Pablo Delcan and Danielle Del Plato ...

In this tutorial, we build a hierarchical planner agent using an open-source instruct model. We design a structured multi-agent architecture comprising a planner agent, an executor agent, and an ...

Everyone who has tried to code with Anthropic’s Claude Code AI agents runs into the same usability problem: If you run two or three concurrent artificial intelligence sessions—say, one rewriting your ...

Irene Okpanachi is a Features writer covering Android devices, laptops, portable projectors, VR headsets, software, and AI recorders for Android Police and Talk Android. She has five years' experience ...

Abstract: Bayesian inference provides a methodology for parameter estimation and uncertainty quantification in machine learning and deep learning methods. Variational inference and Markov Chain ...