AI agents are replacing mockups with working prototypes; teams now plan in 3–6 month cycles, changing handoffs and feedback loops.

Design workflows shift as AI and engineering speed shipping; mockup time drops to 30–40%, changing team roles and review cycles.

Katharine Jarmul keynotes on common myths around privacy and security in AI and explores what the realities are, covering design patterns that help build more secure, more private AI systems.

Just as general-purpose models opened the era of practical AI, narrow, orchestrated models could define the economics and ...

Will Kenton is an expert on the economy and investing laws and regulations. He previously held senior editorial roles at Investopedia and Kapitall Wire and holds a MA in Economics from The New School ...

Autonomous coding agents have evolved from novelty to practical collaborators. Given a prompt like “build a service that ...

GitHub games are open-source projects for testing gameplay ideas, sharing code, and collaborating publicly outside ...

Using an AI coding assistant to migrate an application from one programming language to another wasn’t as easy as it looked. Here are three takeaways.

AI-enhanced vision systems automate medical device quality control, replacing manual inspection with flexible solutions.