Developer's AI Cost Tracker Silently Logged Zeros for 52 Days Due to Hook Bug

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A developer building an autonomous AI-powered business discovered that their Claude Code cost-tracking system had been logging zero values for every session across 52 days and 2,340 log entries. The silent failure stemmed from a flawed assumption in the Stop hook script, which expected token usage and model data to arrive via stdin — fields that the hook's payload does not actually include. The bug went undetected because the logs appeared to be recording normally, producing no errors or alerts. The developer resolved the issue in a second version of the script by reading cost data directly from Claude Code's session transcript files, which reliably contain model and usage information. The case highlights a key risk in autonomous AI workflows: silent data errors can persist far longer than outright failures, which are easier to catch and fix.

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