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.
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.
OpenCode 2.0 is being formally presented about three months after its public beta. The major architectural overhaul runs the coding agent's terminal, desktop and web apps on a single shared service.
Alibaba's Qwen team unveiled QwenGyre, an online reinforcement learning framework that trains coding agents through unmodified, black-box harnesses. It targets rollouts lasting hours and processing close to a million tokens.
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.