In 2025, something unexpected happened. The programming language most notorious for its difficulty became the go-to choice for the laziest form of programming imaginable.

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.

Safe coding is a collection of software design practices and patterns that allow for cost-effectively achieving a high degree ...

Researchers from Google and MIT published a paper describing a predictive framework for scaling multi-agent systems. The framework shows that there is a tool-coordination trade-off and it can be used ...