A practical production-readiness checklist for Python apps built with AI coding assistants like Claude Code or Cursor. Covers common failure patterns in AI-generated Python (aggressive caching, N+1 ORM queries, hardcoded secrets, oversized dependencies), a pre-production audit process, and a monitoring setup using AppSignal. Includes a phased first-48-hours monitoring guide covering errors, memory, and database queries, plus a warning about PII leaking into logs from AI-generated logging code.
Table of contents
Quite a Combo: Python and AIPre-Production AuditMonitoring ChecklistInstalling AppSignal in a Python ProjectThe First 48 HoursMonitoring Is Your AI Safety NetNext StepsFrequently Asked Questions (FAQ)148 Impressions