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The biggest win for AI dev efficiency is cutting down what gets loaded into context. Semantically matching tasks to the top tools helps a lot.

The biggest win for AI dev efficiency is cutting down what gets loaded into context. Semantically matching tasks to the top tools helps a lot.

The combo that makes agents reliable: progressive tool routing, persistent memory, and multi-model failover.

The biggest win for AI dev efficiency is cutting down what gets loaded into context. Semantically matching tasks to the top tools helps a lot.

This is an interesting problem. A similar approach that worked for us was to only load the tools the agent actually needs for each task.