Why Agents Crash Under Real Traffic: A 12-Point Production Readiness Guide
cagri_yalcin · reddit · 2026-08-13
Many AI agents demo brilliantly but collapse under real traffic. The author synthesized high-quality discussions to identify recurring patterns of agent failures in production and compiled a 12-point readiness checklist.
Core Reasons Agents Stall in Prod:
- Reliability Compounds: A 95% success rate per tool call drops to 36% end-to-end over 20 calls.
- Uncapped Loops: Loops without limits don't crash; they quietly burn through compute budgets.
- No Checkpoints: Failing halfway without state saving means starting over and paying twice.
- Lack of Access Control: System prompts are not access control; authorization must sit in code.
- Retrieval & Idempotency: Retrieval leaks and double-fired writes on retries are the hardest bugs.
To address these pitfalls, the author shares a 12-point checklist grouped into scope & proof, access & permissions, and runtime & recovery, helping developers prepare agents for real-world deployment.
Related event: AI Agents Crash in Production: Pain Points and 12-Point Guide(5 posts)→
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