• AI agent — An AI system that doesn't just answer once but works toward a goal in a loop — taking actions, reading the results, and deciding what to do next.
• context window — The maximum amount of text a model can consider at once — its working memory for the current conversation or task.
• attention — The mechanism that lets a model weigh which earlier words matter for the word it's currently processing — the core operation of a transformer.

A usable adoption sequence: build verification before running a persuasion campaign, and mark the human-written line at the top of an AI-generated PR description so reviewers know where to spend attention.

• videoHow do you diffuse AI into the real world? — Varun Shenoy, Long Lake
• videoYour Code Has Bugs. Lean4 Has Proofs: Formal Verification for Engineers — Varun Pant, AWS
• videoAI-Native Organisations Run on Skills: How to Structure and Scale Them — Imad Touil, QuantumBlack
• videoBuilding uReview, Uber’s Multi-Agent Code Review Engine — Will Bond & Ameya Ketkar, Uber

• videoAgents, codebases, and teams — Aditya Khandelwal, Amazon AGI LabAI Engineer
• videoThe Death of Developer Advocates — Stephanie Jarmak, SourcegraphAI Engineer
• videoFrom AI-Assisted to AI-Native: Building a Frontier Development Team — Clare Liguori, AWSAI Engineer

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