
Coding by Hand: Reclaiming the Craft in the Age of AI
The author is intentionally avoiding AI coding tools for three months to rebuild his technical foundations and reclaim the craft of programming through manual effort.
The process of pretraining and training large language models from scratch, including data preparation, tokenization, optimization, compute requirements, and end-to-end training pipelines.

The author is intentionally avoiding AI coding tools for three months to rebuild his technical foundations and reclaim the craft of programming through manual effort.
LLMs can significantly boost their code generation performance by fine-tuning on their own sampled outputs without any external guidance or verifiers.

An autonomous framework where AI agents independently iterate on and optimize LLM training code within fixed time budgets.

Train and serve your own mini ChatGPT in ~4 hours for ~$100 with a single, minimal, end-to-end codebase—and scale it with a few simple tweaks.
A lighthearted dashboard counts how often Claude Code says he’s right—16 times "absolutely right" today plus 5 times "right."