Writing
Writing
The Strangler Fig
We have a fig tree in our yard. I've been staring at it. Some thoughts on how platforms grow on other platforms — a visual exploration.
Coherence by Design: How to Actually Build AI-Enabled Product Teams
AI isn't a silver bullet — but neither was Kubernetes. Here's what the 10-year arc of modernization taught me about building AI teams that actually ship.
AI Is Great at the Easy Part
Why the most valuable skill in product work is the one AI is worst at.
The Fifth Ceremony
The report was wrong.
What Next.js Users Really Want (According to GitHub)
We looked at 57,793 GitHub issues from Next.js to find out what developers really struggle with. Instead of relying on survey answers, we focused on the problems that actually lead people to file issues.
Beyond Cloud-Native: The AI Forcing Function
I used to joke that Kubernetes revealed all the technical problems in an organization. It made every siloed process and rigid hierarchy obvious.
Pruning Project Chaos: What the TVA Can Teach Us About Linguistic Debt
A Note on Translation: This post describes the core innovation protected by US Patent 12,106,240 B2 through accessible metaphors and examples. Terms like "Linguistic Debt," "Intent vs. Execution," and "Alignment Score" are my way of explaining the technical concepts to a broader audience. The patent itself uses more formal language like "ontology-based classification," "relevance determination," and "categorical frameworks."
The Velocity Paradox: What We Found Looking Under the Hood of the Modern AI Stack
Originally published on LinkedIn on 12/23/2025. Republished here as part of my ongoing research into linguistic debt and engineering organizational health.
The Platform Engineering Challenge No One's Talking About
I need to tell you about a problem that's been hiding in plain sight. It's burning out your best people, killing your delivery velocity, and it's about to get exponentially worse with the adoption of AI agents.
The Million Straws of Modern Tech
"Why did one straw break the camel's back? Here's the secret — the million other straws underneath it."
The Usual Suspects of Platform Confusion
There's this unforgettable moment at the end of The Usual Suspects. The detective, proud of having outwitted the mysterious con man he's been interrogating, lets him go. But moments later, he looks around the room — really looks — and starts to connect the dots. Everything the man said was a lie. The clues were there the whole time. And then... he drops his coffee cup.
Work with The Jambot
If the writing reflects a problem you’re seeing in your org, I can help you diagnose and fix it.
Interested in a semantic risk audit, operating model reset, or coherence review?
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