Developer Checklist: How to Safely Evaluate an AI Agent Before Granting File Access

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Developers are urged to rigorously test AI agents before connecting them to real files, team tools, or production data. The recommended approach involves using synthetic data, defining a bounded task with a clear acceptance checklist, and granting only the minimum permissions the test requires. Controlled failure scenarios — such as removing required columns or making output folders read-only — help reveal whether an agent asks for guidance, halts, or silently invents answers. Evaluators should inspect the actual output artifact for errors, unexpected changes, and reproducibility rather than relying on convincing chat responses alone. Workflow automation should only follow after manual testing is consistently predictable, with clear controls over who can trigger actions and where logs are stored.

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ProgrammingDEV Community ·

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