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Latest
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Disassembling slop
Slop isn't bad AI code. It's code that is cheap to produce and expensive to verify, a trade LLMs knocked out of balance. Name the imbalance and you can act on it, instead of just asking people to be more careful.
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From vibe to spec
The methodologies fighting for attention such as vibe coding, spec-driven development, structured prompt-driven development, keep getting framed as rival camps. In fact, they're stages of one pipeline, and the real leverage is in the transition point between them.
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Tested by accident
I accidentally deleted my website this weekend. The forced rebuild was the first real-pressure test of the standards-first experiment I wrote about a few days ago. The standards held — and revealed what is still unfinished.
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Slop is a standards problem
AI slop is real. The diagnosis is wrong. Slop is what AI does when no one sets the standard — and the same technology can elevate the bar instead, if you choose to use it that way.
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Evolving Agile in the age of AI agents
The agile practices that survived AI-assisted development weren't the process ones — they were the philosophical ones. A look at what changed and what stayed when building a real product with AI agents.
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The incomplete history of Design Tokens
A thirty-year story about a single idea: that design decisions should be named, shared, and separated from the things they style — from Håkon Wium Lie's 1994 proposal to the W3C specification.
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Goal-Driven Development with AI Agents
Starting with a real problem — the "did we get cinnamon sticks?" moment in the kitchen — and figuring out the solution as you go. Part 1 of a series on building a real product with AI agents.
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If Your Meeting Needs People From Five Teams, Something's Broken
When delivering one idea requires five teams in a room, that's not a planning problem — it's a structural one. On value streams and why cross-functional engineering teams are only halfway to the goal.
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Part 2 — The Handoff (From the AI's Point of View)
The second part of a documentation experiment, written from the AI's perspective. GPT inherits a codebase cold, reads the principles doc, and uses it to constrain a feature decision — validating the thesis that the right documentation shapes choices, not just describes code.
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What's Left When the Code Becomes the Source of Truth
I wrote 786 lines of documentation, then deleted 83% of it. Here's what survived — and why it's the only documentation that matters.