Guidance for distinctive, intentional UI design, typography, visual direction, and non-template-like product interfaces.

All Algorithms implemented in Python

A tool that converts codebases, SQL schemas, and other files into queryable knowledge graphs for AI coding assistants.

Open-source LLM-friendly web crawler and scraper

Review a branch or diff against repository standards and the originating spec in two independent analysis passes.

Break a plan, spec, or conversation into independently actionable tracer-bullet tickets with explicit blocking relationships.

Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Implement work from an approved spec or ticket set, run focused and full tests, invoke code review, and commit the result to the current branch.

Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.