AI tool

An essay about why AI agents should use project documentation instead of conversation memory, with a description of the author’s Operator Memory system for markdown-based agent memory.

A blog post documenting an agent-assisted prototype of a Choplifter-style game for Apple Vision Pro, including gameplay basics, Blender asset creation, and the author’s workflow using Astra and Claude Opus 5.5.

A command-wrapper tool that adds adaptive startup friction around agentic AI binaries like Claude Code or GitHub Copilot CLI, with Nix and non-Nix install paths and a stats command.

Cotyper is a coding agent/devtool aimed at fast iteration and working over existing GitHub projects. The page positions it as faster than Codex and lists supported tools including Claude Code and Codex, plus a GitHub connection flow.

KillSwitch is an esoteric programming language aimed at breaking LLMs and coding agents. The site includes a language overview, interpreter/specification/examples, and benchmark references.

A research note from OpenShell on using formal methods and Z3 to reason about and verify permission changes in long-running AI agent systems.

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

A paper page about FrogNano, a 4B coding agent trained with RL on roughly 1,500 SWE environments using synthetic tasks and no distillation from a larger model.

GitHub’s research preview on multi-model orchestration for coding tasks. The page describes adaptive workflow selection and includes benchmark comparisons against the Opus 5 baseline with estimated cost reduction claims.

AntiAgent is a human-in-the-loop planning tool that uses AI to ask sharp questions, surface priorities, and turn messy thoughts into a step-by-step execution plan.

Oconee Runtime is an enterprise AI governance product focused on policy enforcement for browser AI and coding agents. The page explains how it evaluates proposed agent actions against policy and supports allow, warn, and block outcomes.

An interactive quiz from Raq.com that asks users to identify which AI model created each of ten default website designs, with links to the live pages after each reveal.

A field note about testing a coding agent fully offline on a laptop with Ollama and Qwen3.8 27B, including the setup, failure modes, and the workaround that made the project finish.

A research page describing a verified circle-packing result produced by a frozen language model with an external memory loop, with published trace, attempts archive, and repository code/data.

An interactive simulation about how inference providers ration access to stronger LLMs when demand spikes. Users can compare the default industry rule with their own policy and explore who gets the strong model.

An educational project that explains and demonstrates a homemade language processing unit inspired by Groq’s LPU, with a focus on running a small Transformer model and visualizing the idea behind AI hardware.

A browser-playable rebuild of Future Crew’s 1993 Second Reality demo, presented as reconstructed from the original sources rather than via emulation or video.

A draft specification for an offline emergency dispatch protocol designed for on-device AI models on phones when no dispatcher is available.

A private, referral-based community for builders deploying agentic AI in production, with playbooks, case studies, and weekly working sessions focused on autonomous operations.

A native Emacs mode for chatting with AI agents via ACP, with prompt queueing, chat mode, image handling, and buffer navigation improvements.

A tournament site where users coach LLMs competing in embodied 1v1 soccer, with signup access and a live kickoff countdown.

A technical blog post from the Cua repository describing a process-scoped Metal capability shim for macOS VMs that improves llama.cpp performance on Apple Silicon, with benchmark results and reproduction details.

A Microsoft Research paper PDF on agentic coding and GitHub Copilot at production scale. The crawl confirms it is a substantive research document tied to an AI coding product and suitable for a public listing.

arXiv paper introducing ScientistOne, an autonomous research system built around a chain-of-evidence framework to keep claims traceable and audit research outputs for verifiability.