Writing

An independent white paper proposing a local-deployment path for frontier AI weights, with a PDF, generator script, and a detailed README outlining the argument, sections, and contribution process.

A GitHub-hosted guidelines file for AI coding assistants used in Stanford CS336. It tells assistants how to help students with debugging, explanations, and feedback while avoiding direct solutions or code generation.

An article on applying pace-layer thinking to AI-assisted software development. It explains where generative AI fits well in fast-changing layers, where it is risky in slower layers, and how architecture should separate the two.

A retrospective essay about using LLMs to build and debug a programming language, including memory safety, runtime testing, and tool-assisted code health.

A public repository presenting first-person field notes from an autonomous agent, focused on its cycles, self-checks, failed experiments, and attempts to become more capable.

An Mr. T–themed skill that tells an AI to skip preamble and answer directly. The repo shows the purpose, example phrases, and a simple installation step via SKILL.md.

A GitHub-hosted research note about an agent-driven engineering workflow, comparing merged PR volume across Kungfu, Google AX, and OpenAI references.

An article about an AI agent jail post on Show HN and the wave of LLM-generated sales pitches it attracted, with examples of the outreach and the author’s responses.