The engineering/ai tag contains notes and content related to AI systems — it’s distinctly more LLM- and tooling-oriented than, say, data, which focuses more on data science and engineering.

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  • Agentic Programming as Theory Building

    — Do humans have a role in software development anymore? Absolutely — but we need to rethink what it means to program. An modern review of Peter Naur's 1985 essay "Programming as Theory Building"

  • LLMs; or, How to Run Your Own Hostage Negotiation

    — LLMs: Are we doomed to die, or born to garden? I'd like to make the case that AI is less like Terminator, and more like tomatoes. (8 min read)

  • AI Policy

    — I may not have any control about how AI affects me, but I can at least make a policy for how I use it. (3 min read)

  • Kickoff: Season of Systems

    — I'm learning to live with the systems that stole my beloved em-dash. A season dedicated to negotiating how to live with the agentic models that have turned my career upside-down. (8 min read)

  • LLMs: A Primer Presentation for Our Newest, Scariest Tool

    — An engineer-focused primer on the mechanisms that drive Large Language Models. Basics on how we got here, how they work, and how to use them without feeling an apocalyptic dread.

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