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.
#ai
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Working with Valves: Understanding the Structure of "Flat" Organizations
— Many an engineer has heard tales of Valve's "flat" organization structure — what is fact, what is fiction, and how does it actually work? An annotated copy of the 2012 First Edition of Valve's Employee Handbook. (23 min read)
Systems: Week 11
— Watch a human cope about bots taking his job in real time. Is he cooked? Find out tonight in Season of Systems: Week 11! (6 min read)
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" (40 min read)
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)
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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. (1 min read)
GPTinglish: Unnatural Language Processing
— The only market crashing is the market for sanitized language. Stay human. Embrace typos. (7 min read)