How a Nightly Maintenance Loop Succeeds by Doing Absolutely Nothing
A developer building a scheduled maintenance loop for a browser poster-data pipeline designed it to run nightly, regenerate JSON and image files, and validate them before publishing. The validation step is handled by a deterministic Node script that checks schema compliance, minimum film counts, and poster file existence — deliberately excluding any AI from the pass/fail decision. A Claude Code hook enforces data integrity by blocking a session from closing if the validation fails, ensuring the model cannot override the outcome. The loop can run locally at no cost, while a GitHub Actions version uses Claude headlessly for data regeneration but still relies on plain code for the final gate.
This is an AI-generated summary. ShortSingh links to the original source for the complete article.
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