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Building Realistic Environments for AI Agent Evaluation

This story is from 2026-10-22. It is preserved in the archive; the latest stories are on the live feed.

An agent needs reliable tools , access to relevant data, and enough context to understand a task and complete it. When we evaluate an agent, those tools, data, and context - along with permissions and the system’s starting state - make up the evaluation environment. The tricky part is making that e…

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  1. 2026-10-22 21:39 · DEV Community — AI
    Building Realistic Environments for AI Agent Evaluation

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