Developer cuts AI agent telemetry by 81% by eliminating redundant file echoes

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A developer auditing their AI coding agent's telemetry discovered that 81% of stored data was redundant, with two-thirds of the largest rows being full copies of files already stored in version control. The agent's Edit and Write tools were logging entire edited files as tool responses, consuming 35.1 MB per week while carrying no unique information. After measuring actual data consumers and splitting telemetry by tool type, the developer devised a rule to retain only responses that contain information not available elsewhere. Implementing this change reduced per-row storage from 4,119 bytes to 2,326 bytes, with Edit tool response data dropping 92% per row. The exercise highlighted that aggregate metrics only signal a problem exists, while breaking data down by category reveals what to actually fix.

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