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AWS vice president and distinguished engineer cited as predicting dynamic software fitted to a particular workload rather than a broad class of workloads.
AWS released Strands Box, an open-source sandbox for AI agents whose rules weigh what an agent has already done before allowing its next action. Operators gain rules that can cap or sequence actions. They also take on more code to trust, by AWS's own account.
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AWS open-sourced Strands Decider 2B, a model that picks from a fixed list of options in under 150 milliseconds on a local machine, the company says. Agent builders get a small model they can run themselves for routing and tool-selection steps that would otherwise each call a full LLM.
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The new Strands harness ships the tools, memory and context handling most teams assemble themselves, and AWS attributes its 28% saving to offloading bulky tool output to files and reusable caches across six unnamed benchmarks.
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AWS has open-sourced a preconfigured general-purpose agent on top of its Strands SDK and says it runs 45% cheaper than Claude Code and Codex. The model call defaults to Amazon Bedrock, and Marc Brooker says one line changes that.
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Luu reports that minutes of prompting bought a 7% speedup on his own query workload. The cost curve behind it re-prices optimization backlogs and makes holdout discipline the scarce skill.
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