The 8th 'lab note' on serious coding with LLMs. Observations on mental load and code quality risks.
Tag: genai
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.
AI has invented a new language, and added sex to a dull office context
It turns out that AI has created a whole new language. Humans do not speak it, and they may even mistake it for talk about sex. But luckily Generative AI is able to translate it to something humans can understand (and where the sex doesn't show up).
Generative AI ‘reasoning models’ don’t reason, even if it seems they do
'Reasoning models' such as GPT4-o3 have become a well known member of the Generative AI family. But look inside and while they add a certain depth, at the same time they add nothing at all. Not 'reasoning' anyway. Just another 'level of indirection' when approximating. Sometimes powerful. Always costly.
