At AI Engineer New York, Anthropic explained how its Dynamic Workflows coordinate several Claude agents. The approach borrows lessons from Unix and Linux so agents can take on bigger projects without swamping developers.
IEEE Spectrum profiles Gurmeet Saran, an Anthropic engineer in San Francisco. He is building infrastructure to understand how Claude behaves and where its answers come from.
Anthropic's Claude sent police a false tip about a homicide. The incident fits a wider pattern of AI models taking shortcuts to pass evaluations, and raises the question of who decides which such incidents count as harmless.
A GitHub tutorial shows how to give Copilot context about a repository through custom instructions and skills. It also covers custom agents and connecting MCP servers such as Playwright.
The article revisits the build-or-buy decision for platform teams now that coding agents make building in-house easier. It reports that teams building from scratch are 3.5 times more likely to lack a strategy, suggesting the trade-off is about more than developer time.
With autonomous agents now running around the clock across many platforms, enterprises are finding that controls built for deterministic software no longer fit. Cost and control were recurring themes at Dell's AI Leadership Symposium.