Developer Debugs AI Agent Loop, Adds Run History After Silent Script Failures

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A software developer building an AI-powered ticket-execution agent encountered a silent failure on day three when a shell script could not locate user stories due to a filename prefix mismatch between 'US-04' and the actual 'NN_slug.md' file naming convention. A secondary bug caused an overly strict pipefail setting to kill the script before its own error message could display, and a content-matching fix later revealed a third issue where grep matched ticket IDs inside unrelated file bodies rather than headings. To address the lack of run visibility, the developer added timestamped JSON log files for each agent run using a tee pipeline, ensuring no output would be lost between sessions. Over the following day and night, 29 runs were logged across 20 user stories, accumulating nearly 500 turns and approximately USD 55 in API costs, with one ticket requiring four attempts before completing successfully. A final status-detection bug — where the script matched the word 'BLOCKED' anywhere in output rather than only in the status line — was caught and fixed manually after the new history system made it visible.

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