Writing AI Tools

A Supabase blog post about testing documentation with an eval, finding agent-driven RLS setup failures, and revising the guide to work better for coding agents.

A drop-in CLAUDE.md style section that changes how Claude writes prose. The repo includes a clear install path, the style rules themselves, and notes on when the patch works best or degrades.

An AI-made book of thirteen machine-themed fables, written, illustrated, and typeset in one day, with a full read-online presentation and PDF download.

A practical guide to building an always-on personal AI assistant with Pi, OpenCode Go, Telegram, Resend, Hetzner, Tailscale, GitHub, and Nginx.

A comparison guide covering prompt injection detection and defense tools for enterprise AI agents, including production screening, red-team testing, guardrails, and action-boundary controls.

A monthly newspaper on the AI industry, covering model releases, funding, launches, pricing shifts, and notable retirements. The page offers a full issue preview plus links to read online or download the PDF.

An AI conversation tool for journaling, sorting thoughts, and nighttime reflection, positioned as a calm self-reflection assistant.

A MotherDuck blog interview with Wes McKinney on practical AI coding workflows, including spec-driven development, continuous AI code review, and how to keep agent-generated code maintainable.

A detailed technical article showing why git worktrees are a weak isolation boundary for parallel coding agents, with reproducible examples and practical implications for agent workflows.

A step-by-step guide for turning a spare Mac into an always-on machine Claude Code can control over SSH or from the Claude app.

An article about using GitHub Agentic Workflows to scale documentation QA with a tiered AI setup, combining deterministic checks with LLM-assisted reviews, centralized workflows, and MCP-backed knowledge.

A Prompt One blog post about compiled workflow agents, design-time tool selection, and why runtime agents should not choose tools dynamically.

A long-form essay about why AI coding software factories break down, with discussion of harness engineering, benchmark limits, and safer ways to use coding agents.

A web app that generates product or project ideas by pairing familiar tools with an added agent layer. The page frames it as an idea generator for “copy idea” style prompts, with a simple call to action to pull the lever for a new departure.

A detailed tutorial that explains what agent tools are and walks through a basic set of implementation patterns for an AI agent in Python, including bash, file, search, edit, and web fetch 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 lightweight Hacker News view that filters out AI-related stories and shows a cleaner front page feed.

A playful benchmark dashboard that ranks LLMs based on one person's 10-question scoring process.

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.

A research-style blog post comparing grep with LSP-backed navigation in coding-agent workflows, showing how tool interface shape affects agent behavior and task success.

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.