"Real World AI Integration" by Carin Meier and Marlon Silva

LLMs should enhance thinking capacity rather than replace it - don’t outsource your thinking to AI

Use the Socratic method and role-playing with LLMs to gain different perspectives and foster critical thinking

Build flexible, thin-layer tools that allow engineers to extend LLM functionality rather than creating rigid solutions

When benchmarking LLMs for specific programming languages like Closure, start by experimenting and playing with models to understand their capabilities

Create internal communities (like guilds) to share learnings and experiences with LLM integration

In regulated environments, implement proper security and compliance through internal platforms/proxies when accessing LLMs

Design tools that help solve problems rather than trying to have LLMs directly solve problems themselves

LLMs work better as communication and understanding tools rather than complete solution providers

Keep solutions simple, extensible, and focused on enhancing developer productivity rather than replacing developers

Stay adaptable as LLM technology evolves rapidly - what works today might change significantly in the near future