Top Picks

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.

A Claude Code stop hook that detects negative feedback in the conversation transcript and plays a random local sound from a folder, with a fallback voice prompt if no sound files are present.

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.

Open-source AI infrastructure project focused on GPU memory management and serving, with a Python control plane, C++ data plane, and optional CUDA kernels.

A public slide deck about vLLM-compile, a project focused on bringing compiler optimizations to LLM inference and speeding up torch.compile for vLLM workflows.

A lightweight golf round tracker that runs in the browser and keeps data locally. The page shows starting and finishing rounds, logging shots, club selection, and a simple workflow for tracking holes.

A GitHub repository for a latency-separated AI memory retrieval and RAG system. The README describes fetch, compute, and ANN search stages, includes benchmark ranges, and exposes a public test endpoint.

A research page and preprint about using code as the runtime layer for agent systems, with a taxonomy of harness interfaces, harness mechanisms, and scaling patterns for multi-agent workflows.

A web app that takes an uploaded track or URL and transforms it into a Panama-style remix using AI-driven stem separation, harmonic mapping, and audio rendering.