How One Dev Fixed Silent Failures in an AI Video Ad Pipeline With 1,200 Lines
A developer working on an AI-driven video ad platform discovered critical reliability gaps after a ten-minute provider outage caused all sixteen clips in a job to fail, exhausting retries within 45 seconds. The pipeline also suffered silent crashes — including unhandled promise rejections that killed the Next.js server with a 502 error and no stack trace, and null fields from Claude crashing plan validation before any clip was generated. To address these issues, the developer built an error classifier that separates transient failures from permanent ones, routing retriable errors through exponential backoff up to 120 seconds. A model fallback system was also added for Claude, automatically switching to a secondary model on transient failures while logging token usage, latency, and fallback events for cost and reliability tracking. The fixes were shipped across five pull requests totalling roughly 1,200 lines of code.
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