Summary: How I added llms.txt and Markdown exports to my Pelican blog, giving LLMs and other tools a cleaner, machine-readable way to access its content.
Summary: An intentionally minimal AI evals runner that illustrates how to test LLMs.
Summary: Turning MicroGPT into a more educational, configurable project and finding that modifying and experimenting with it was the best way to understand how LLMs work.
Summary: Using Claude Code to port a set of daily Javascript scripts to Go, reducing memory usage and removing the Node.js runtime dependency in roughly 20 minutes.
Summary: How I use AI agents to build a project end-to-end, with tests as the main safety net.