AGENT RELIABILITY PATTERNS: ON-DEMAND GUIDES

Summary from the TLDR Dev newsletter

Almost right, but not quite” is developers' most-cited AI frustration in Stack Overflow's 2025 survey, and it stops being tolerable once AI agents handle production work. The shift reaches ordinary AI features too. Anything that chains model calls into multi-step work inherits the same failure classes. Building Agentic Systems on AWS turns them into teachable patterns: on-demand technical guides and workshops on orchestration, state that survives sessions and restarts, failure recovery, human approval gates, and evaluation that tests whether a change made the agent worse. START WITH THE AGENT SERIES IN AWS MARKETPLACE [4].