A developer details how they implemented a "Stop hook" in Claude Code to automatically log subagent performance, reducing their monthly costs by 15-20%. This hook, a shell script triggered upon session completion, parses conversation logs to track the duration and success rate of individual subagents. By aggregating this data with tools like jq, the developer moved from subjective assessments to data-driven optimization, enabling significant cost savings and improved workflow efficiency. AI
IMPACT Provides a practical method for developers to monitor and reduce AI tool operational costs through performance tracking.
RANK_REASON Developer shares a specific technical implementation for optimizing a tool's cost.
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