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Best Practices for Building AI Agents That Work in Production: Context, Control Flow, State, Scope
ByteByteGo·July 22, 2026
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Summary
ByteByteGo synthesizes the 'Twelve-Factor Agents' movement plus lessons from Anthropic, Cognition, and Intercom into four production-reliability practices, with real failure case studies (Cursor's fabricated policy, Air Canada's chatbot liability ruling) and the resolved single-vs-multi-agent debate (one orchestrator, isolated short-lived sub-agents).
Why this signal
A comprehensive, well-organized reference for exactly what Neo's focus area #1 is asking for — concrete patterns for reliability, error handling, and scope control, with real production failure examples useful for team training.
Original email
ByteByteGo · 7/22/2026
Best Practices for Building AI Agents That Work in Production