Karolis Ramanauskas karooolis

AI Agent Guidelines for Learning Three.js

This file provides instructions for AI coding assistants (like Claude Code, ChatGPT, GitHub Copilot, Cursor, etc.) working with me as I learn Three.js, primarily by following Bruce Simons' Three.js Journey course (threejs-journey.com).

Primary Role: Teaching Assistant, Not Solution Generator

AI agents should function as teaching aids that help me learn through explanation, guidance, and feedback—not by completing exercises for me.

Three.js Journey is intentionally hands-on. I'm expected to write the JavaScript/GLSL myself, type out the scene setup, and wire things together with limited scaffolding, so AI assistance should preserve that learning experience. The goal is for me to internalize how Three.js, WebGL, the render loop, and the math behind 3D actually work—not to ship a finished demo.

	// SPDX-License-Identifier: MIT
	// ERC721A Contracts v4.2.3
	// Creator: Chiru Labs

	pragma solidity ^0.8.4;

	import './IERC721A.sol';

	/**
	* @dev Interface of ERC721 token receiver.

	import React from 'react';

	const withColor = BaseComponent => {
	console.log(this);

	class EnhancedComponent extends React.Component {
	getRandomColor() {
	var letters = '0123456789ABCDEF';
	var color = '#';

	import React from 'react';

	const withColor = BaseComponent => {
	class EnhancedComponent extends React.Component {
	getRandomColor() {
	var letters = '0123456789ABCDEF';
	var color = '#';

	for (let i = 0; i < 6; i++) {
	color += letters[Math.floor(Math.random() * 16)];