Serious coding with LLMs. Lab notes 2026-10-27: A code audit of LLM-generated code: improving from ‘sludge’ to ‘vakwerk’
The sixth ‘lab note’. I had the code audited. With some helpful scripts and an example from my ‘context harness’
Aggregated enterprise architecture wisdom
The sixth ‘lab note’. I had the code audited. With some helpful scripts and an example from my ‘context harness’
Gartner’s latest CEO survey exposes a troubling disconnect between escalating…
The fifth ‘lab note’. This time on ‘tokens’ and the cost of generating them when working with LLM coding. Throttling is happening. Prepare.
The fourth ‘lab note’. More on the power and Achilles’ heel of “brute force trial and error with token pattern statistics” Goodbye, Codex. Hello, Limits.
The third ‘lab note’. More on the power and Achilles’ heel of “brute force trial and error with token pattern statistics”
Insights Expected from the Gartner IT Symposium/Xpo 2026 By Steve…
The second ‘lab note’. More on the power and Achilles’ heel of “brute force trial and error with token pattern statistics”
Before publishing about my very serious LLM-coding experiment, I am publishing a few shorter ‘lab notes’. This is the first one.
Why the most dangerous knowledge in your enterprise is the…
Author Interview: Brice OminskiBook Title: Digital Momentum From the Editor: Welcome to the…
How Agentic AI Is Transforming Enterprise and Solutions Architecture For…
Coding with LLMs (Claude Code, OpenAI Codex) is often presented as the ‘killer app’ for Generative AI. But looking at data, it seems the one piece of the puzzle missing is actual cost. A quest into getting a less muddy picture about what is going on, w…