The 8th 'lab note' on serious coding with LLMs. Observations on mental load and code quality risks.
Category: AI
Serious coding with LLMs. Lab notes 2026-10-31: Teaser Demo of the LLM-coded EACMP application, and a quiz
The seventh 'lab note'. Watch a teaser video of what my serious LLM-coded application is capable of.
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'
Serious coding with LLMs. Lab notes 2026-10-21: The throttling of subscriptions by OpenAI and Anthropic is really happening
The fifth 'lab note'. This time on 'tokens' and the cost of generating them when working with LLM coding. Throttling is happening. Prepare.
Serious coding with LLMs. Lab notes 2026-10-13: Codex vs Claude on the same coding task.
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.
Serious coding with LLMs. Lab notes 2026-10-01: Codex and Claude generate a shared analysis
The third 'lab note'. More on the power and Achilles' heel of "brute force trial and error with token pattern statistics"
Serious coding with LLMs. Lab notes 2026-09-27: Codex succeeds, Claude reviews the result.
The second 'lab note'. More on the power and Achilles' heel of "brute force trial and error with token pattern statistics"
Serious coding with LLMs. Lab notes 2026-09-25: Codex vs Claude Code, Usage Limit Resets
Before publishing about my very serious LLM-coding experiment, I am publishing a few shorter 'lab notes'. This is the first one.
Anthropic/OpenAI may be spending more than $1000 for every $100 you pay them
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, with surprising results.
The key to real intelligence might be imagination
Just copied from an earlier version on LinkedIn, a short article describing the key role of imagination in intelligence and why that may mean that self-driving cars require true intelligence and more than just reacting to sensors.
