AI Development on Thede Technologies

The Processing Layer Is Not a Moat

Wed, 05 Aug 2026 00:00:00 +0000

A few months ago, a friend booked a meeting room at a coworking space in Nashville and invited anyone interested in AI to come talk shop on a Friday morning. No agenda, no slides - just builders comparing notes on what’s actually working.

One of those Fridays, a conversation about MCP - Model Context Protocol, the mechanism that lets AI agents interact directly with tools like Jira, Sentry, and GCloud - sent me home to rebuild my entire engineering workflow. I wrote about that in Eliminating Waste in the SDLC. The short version: I gave Claude Code access to the same tools I use, and 12 hours of manual work per week disappeared.

Whispering to the Machine: Take Three

Wed, 22 Jul 2026 00:00:00 +0000

In February I ended the second installment of this series with a prediction. I said I’d write another update when the landscape shifted again, and that based on the pace, “that might be next month.”

It’s July. Five months - the longest gap since I started writing these snapshots. The first piece, in June 2025, was about learning to collaborate with a model inside an IDE. The second, in February, was about orchestrating a team of agents from a terminal. I assumed the third would be about whatever tool came next.

Eliminating Waste in the SDLC

Thu, 05 Mar 2026 00:00:00 +0000

I wrote a follow-up exploring what happens after you eliminate the waste: The Processing Layer Is Not a Moat.

I don’t write much code anymore.

About six months ago, Dario Amodei predicted that within a year, 90% of code would be AI-generated. More recently, Boris Cherny, the creator of Claude Code at Anthropic, said that 100% of his code was already written by AI. I thought those numbers sounded aggressive. Now I’m living them.

Whispering to the Machine: Take Two

Fri, 27 Feb 2026 00:00:00 +0000

Eight months ago, I wrote a snapshot of what it felt like to collaborate with AI in software development. I talked about using Cursor, chatting with models, migrating a codebase from Bootstrap to Tailwind. I laid out five principles: plan meticulously, work iteratively, use the right tool, embrace collaboration, don’t be afraid to start fresh.

Those principles still hold. Every one of them. But the way I execute on them has changed so much that the original piece reads like a dispatch from a different era. Eight months in this field might as well be a decade.

The One-Person Engineering Team

Tue, 17 Feb 2026 00:00:00 +0000

Boris Cherny, the creator of Claude Code at Anthropic, recently wrote that “pretty much 100% of our code is written by Claude Code.” For him personally, it had been 100% for over two months. He doesn’t even make small edits by hand. He shipped 22 PRs in one day and 27 the day before, each one entirely written by Claude.

I think he’s right. And I think most engineering teams aren’t ready for what that means.

Whispering to the Machine

Mon, 16 Jun 2025 00:00:00 +0000

I had a conversation with another developer recently that left me feeling energized. We were kicking off a new project, and as we started talking about process, it became clear we were both arriving at similar conclusions about how to actually work with AI in software development. It was one of those moments that validates the path you’ve been on.

The ground moves daily. This year alone I’ve worked with two major new series of models from Anthropic, and the difference between them is obvious in the work. What works today might be obsolete tomorrow. That’s why I write these down. Consider this a snapshot, a journal entry of what my process for collaborating with agentic AI looked like in the summer of 2025.

Building an environmental monitor with the Adafruit Clue

Tue, 08 Apr 2025 00:00:00 +0000

This post was originally published on officeofadamthede.com on April 8, 2025. I’m consolidating it here because the data this Clue has been logging ever since became the dataset behind a bake-off post a year later. Capture solved here, synthesis explored there.

I had an Adafruit Clue on the desk, a board packed with sensors for temperature, humidity, pressure, and light. I wanted it to read the air in my office every few minutes and put the numbers somewhere I could use them. I was new to IoT hardware and close to new at Python. The AI tools did a lot of the work.