Context Engineering: Prompting Is Not Enough

This week, let's talk about context engineering: the practical work around AI systems that goes beyond writing a single prompt. Good results often come from better context shaping, retrieval choices, evaluation loops, and clear guardrails, not just "better wording."

Discussion starters:

• What has had the biggest impact for you: prompt structure, system instructions, retrieval quality, tool use, or evals?
• Where do AI-assisted workflows still break down in real teams (code review, debugging, docs, testing, handoffs)?
• What's one habit or pattern you've adopted that made AI outputs more reliable?

Everyone and anyone is welcome to join as long as you are kind, supportive, and respectful of others. Zoom link will be posted at 12pm MDT.