@ptdamiba: Before we head into Day 2 is of the @aiDotEngineer World’s Fair, here are my biggest takeaways from Day 1. 1. Trust has…

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Summary

A thread summarizing key Day 1 takeaways from the @aiDotEngineer World’s Fair, highlighting that trust is now an engineering discipline, context engineering has evolved beyond RAG, and the back office of AI (observability, authority, governance) is emerging as a new focus.

Before we head into Day 2 is of the @aiDotEngineer World’s Fair, here are my biggest takeaways from Day 1. 1. Trust has officially become an engineering discipline. The sessions from Day 1 skipped asking “Can AI can do the work?” and went straight to evals, gates & controls. 2. Context engineering outgrew RAG. Now it’s graphs, memory, compaction & business knowledge. 3. The back office of AI has arrived: observability, authority layers, and “what is this agent allowed to touch?” are the burning questions. 4. @charles_irl & @swyx play some mean tunes Intelligence is abundant. Trust, context & governance are the new moat. Last year we got the calculator. This year we’re building the accounting department.
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Cached at: 07/01/26, 04:00 AM

Before we head into Day 2 is of the @aiDotEngineer World’s Fair, here are my biggest takeaways from Day 1.

  1. Trust has officially become an engineering discipline. The sessions from Day 1 skipped asking “Can AI can do the work?” and went straight to evals, gates & controls.

  2. Context engineering outgrew RAG. Now it’s graphs, memory, compaction & business knowledge.

  3. The back office of AI has arrived: observability, authority layers, and “what is this agent allowed to touch?” are the burning questions.

  4. @charles_irl & @swyx play some mean tunes

Intelligence is abundant. Trust, context & governance are the new moat.

Last year we got the calculator. This year we’re building the accounting department.

Day 2 @aiDotEngineer World Fair.

Had the pleasure of linking with @sabrinaesaquino & @joshmo_dev from @AskVenice and @f_makraduli from @superlinked and also perhaps my favorite swag from an AI event. AGI Pills!

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Notes from day 1 of the aiDotEngineer conference featuring Kent Dodds' talk on product engineering in the AI world. Covers core thesis that product judgment is the last skill needed when AI commoditizes implementation, the Arrow Metaphor, differentiation between product engineer and product manager, validation techniques like The Mom Test, Jobs-to-Be-Done Framework, Kano Model for prioritizing features, and user feedback loops.