SIX PRINCIPLES FOR PRODUCTION AI AGENTS

Summary from the TLDR newsletter

Building effective AI agents is about system design and proper software engineering. Focus on clear instructions, lean context management, robust tool interfaces, and automated validation loops. Look for missing tools, unclear prompts, or insufficient context when debugging agents. Put error analysis first in the development process - let models help understand where the agent failed, then systematically address those failure modes. The goal isn't to create perfect agents but to make reliable and recoverable ones that fail gracefully and can be improved iteratively.