Agentic Patterns Developers Should Steal

Production agentic systems decompose problems and use the right tool for each step. Most developers hand the AI the whole problem. That's the gap. Teams building production AI workflows have developed patterns for making AI reliable. Developers using AI coding assistants like Claude Code, Cursor, or Copilot mostly haven't adopted them yet. These patterns aren't theoretical. They're practical and don't require special tooling. The Patterns Pattern What most devs currently do What devs should be doing Deterministic tool delegation Ask AI to do everything Use tools for solved problems, AI orchestrates Verification loops Accept first output Generate → evaluate → revise Context engineering Dump everything in Curate what the model sees Upfront planning One big prompt Reviewable plan before execution Persistent memory Start fresh each session Cross-session learning, codified constraints Structured guardrails Hope for the best Execution-layer constraints, hooks, gates Observability Look at the