56 summarised stories about Agent Architecture, each linking back to the original source. Browse all topics →
X 4 months ago 37 ● 2 sources
An article explains the agent loop architecture, a framework for autonomous AI agents where loops handle perception, reasoning, and action cycles. The piece identifies common failure points in these loops and discusses how agents can develop their own skills through iterative processes. Durable orchestration emerges as a critical requirement for maintaining reliable agent loops over time.
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24 October 2026
AI’s dominant theme today is accountability at scale: as agents get more autonomous, companies are doubling down on verification, sandboxing, and evidence—because “it worked once” is no longer good enough. Anthropic reports its merged code changes jumped from about 2,500 per day in May to over 30,000 by September as it rolled out agentic “software factory” workflows, but the growth depends on building a fast, high-fidelity verification “sensor” so agents don’t outrun what tests can actually validate. In parallel, Anthropic open-sourced its @anthropic-ai/sandbox-runtime, an OS-level sandbox (no containers) that reportedly cut internal Claude Code permission prompts by 84%—a practical nod to how real agent deployments are constrained by risk controls, not ambition.
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