The sixth 'lab note'. I had the code audited. With some helpful scripts and an example from my 'context harness'
Tag: Claude Code
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.
