Top Picks

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.

A Hermes plugin that uses adversarial LLM clones to confront sandbagging and reward-hacking behavior during agent sessions.

Open-source Python project for execution-first multi-agent workflows built around YAML Charterfiles, runtime schema enforcement, and a boss-agent hierarchy. The README includes install commands, a short usage tour, and a small code example.

A playable text-adventure that teaches Claude Code through real prompts, skills, and agent workflows.

A Vite plugin that obfuscates client-side code in a way meant to make LLMs refuse de-obfuscation attempts. The README shows the project’s purpose, a usage note, and an example of the transformed output.

A blog post about Idle Frontier, a clicker game about building a frontier language model in 1,000 days, and the author’s experience making it with Claude, Godot, and Aseprite.

A research article describing an empirical runtime-monitoring approach for multi-turn LLM agents, backed by 3,175 runs across four benchmarks. It also points to an open-source implementation, state-harness, with Rust/Python support, LangGraph and CrewAI adapters, CLI tooling, and OpenTelemetry export.

JFrog Security Research investigates a batch of SQLite CVEs and argues many are AI-generated or unsupported by the source code and PoC testing. The post includes a comparison matrix, methodology, and detailed breakdown of several alleged vulnerabilities.

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.

Open-source tool for removing refusal behavior from open-weight transformer language models by identifying and orthogonalizing refusal directions in activation space.

A RequestRocket article mapping the AI agent access-control stack across authentication, authorization, governance, identity, gateways, and runtime egress control. It explains how the categories differ, when each fits, and where RequestRocket sits in the landscape.