Production Agents Overview - Why 98% Haven't Deployed
Deep dive into why most agent deployments fail, the six capabilities tutorials skip, and how to build agents that survive production
Deep dive into why most agent deployments fail, the six capabilities tutorials skip, and how to build agents that survive production
Deep dive into why most agent deployments fail, the six capabilities tutorials skip, and how to build agents that survive production
Deep dive into idempotency: the single highest-leverage production requirement. Learn the Stripe pattern, error classification, jitter, and how to prevent cascading retry storms
Deep dive into agent memory systems: working memory, episodic memory, semantic memory, checkpointing patterns, context management, and long-running workflow persistence
Deep dive into HITL patterns for production agents: confidence-based routing, risk escalation, LangGraph interrupt, and avoiding the rubber-stamping problem at scale
Deep dive into cost control for production agents: token budgets, circuit breakers, model routing, max step limits, and preventing runaway loops that burn through API credits
Deep dive into agent observability: intent drift detection, semantic failure monitoring, tool selection tracking, FinOps visibility, and the 5 intent threats every production agent faces
Deep dive into durable execution frameworks for agents: Temporal, Inngest, Restate, Azure Durable Functions, AWS Step Functions. When to use each and how they solve agent production challenges
Deep dive into agent security: prompt injection defense, tool permission boundaries, sandboxing levels, container hardening, and risk-appropriate isolation strategies
Deep dive into agent testing: unit testing tools, integration testing flows, simulation-based testing, evaluation metrics, golden datasets, and handling non-deterministic behavior