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, ...

Overview: Python and SQL form the core data science foundation, enabling fast analysis, smooth cloud integration, and ...

With countless applications and a combination of approachability and power, Python is one of the most popular programming ...

Python’s new JIT compiler might be the biggest speed boost we’ve seen in a while, but it’s not without bumps. Get that news ...

Overview: Master deep learning with these 10 essential books blending math, code, and real-world AI applications for lasting expertise.From neural networks to N ...

Learn how gradient descent really works by building it step by step in Python. No libraries, no shortcuts—just pure math and code made simple.

Anthropic has published new research on 29 January 2026 that asks a hard question of software teams adopting AI assistants: do quick productivity gains come at the cost of long‑term coding mastery?

AI's coding capabilities prompt students to reevaluate the value of traditional computer science education and future career paths.

By the end of 2024, around one-third of newly written blocks of computer programs in the US took support from AI systems -- ...

WIRED spoke with Boris Cherny, head of Claude Code, about how the viral coding tool is changing the way Anthropic works.