With key EU AI Act provisions now in effect, development teams building AI systems need to understand the practical implications for their architectures and workflows.
Docker’s new Model Runner feature brings local AI model execution into the Docker Desktop workflow, blurring the line between containers and inference.
Anthropic’s Model Context Protocol is gaining traction as a universal standard for connecting AI models to tools and data sources, and the implications for the developer ecosystem are worth watching.
Anthropic’s Claude 3.7 Sonnet introduces extended thinking, letting the model reason step-by-step before responding — and the implications for developer workflows are significant.
Anthropic’s computer use capability lets Claude interact with desktop applications like a human. What does this mean for automation, testing, and the future of AI agents?
The first provisions of the EU AI Act are now enforceable. Here’s what the regulation means for developers building AI systems, and why you should care even if you’re not in Europe.
DeepSeek’s R1 reasoning model, released as fully open-source with an MIT license, demonstrates that frontier AI capabilities aren’t exclusive to US labs anymore.