Writing AI Tools

A short policy file for the ripgrep project that explains how contributors may use AI tools while contributing, and sets rules for issues, pull requests, and comments.

A small web app for taking a break from AI and recording a short session away from LLMs.

An educational article explaining world models, latent states, dynamics learning, and planning for agents, with examples from gridworld, Dreamer, and MuZero.

AImpostor is an Electron-based ChatGPT wrapper for macOS that mimics Claude’s visual style and color scheme. The repo includes an install script for placing the app in ~/Applications and a screenshot asset.

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 developer blog post about how GenAI has changed the author’s coding workflow, including Claude, Maestro, Kilo.AI, git worktrees, voice prompting, and custom skills.