ended6월 8일· 1 sources
Closing the AI Reliability Gap: Why Agents Fail Under Real-World Load
개발에선 완벽한 AI Agent가 운영 환경에서만 고장 나는 이유
Why it matters
AI agents frequently collapse in production because of environmental factors like temperature drift and context overflow that aren't apparent in idealized dev settings. Solving these stochastic failures is essential not just for user trust, but also for controlling the spiraling token costs associated with failed loops.
1
Sources
+0
24h
—
Growth
105d
Active
AI AgentProduction ReliabilityDev-to-Prod GapTemperature DriftContext Window