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Your free-tier AI image generation endpoint is being used to generate 50,000 images per day by one account. Your "send email" endpoint is being used as a spam relay. Your "convert PDF" API is a free conversion service for strangers. Public endpoints need abuse controls.
The query works fine in development with 1,000 rows. In production with 50 million rows it locks up the database for 3 minutes. One missing WHERE clause, one implicit type cast, one function wrapping an indexed column — and PostgreSQL ignores your index entirely.
Use shadow mode, statistical significance testing, and gradual rollouts to confidently replace your LLM models and prompts.
Deep dive into core agent patterns: ReAct loops, Plan-Execute-Observe, reflection mechanisms, and preventing infinite loops with real TypeScript implementations.
Master error detection, reflection prompting, alternative tool selection, human-in-the-loop escalation, and graceful degradation for production agents.