Arcade Logs & Guides
Master the craft of building, styling, and optimizing web games with LLMs, prompt engineering, and platform integrations.

Mastering AI Game Dev: Prompting Hooks for HTML5 Games
Learn the exact instructions, loop designs, and browser canvas hooks you must feed LLMs like Claude or GPT to generate flawless, 60FPS browser-playable games.

How to Optimize AI-Generated Games for VibeGames.Ninja
Best practices for integrating level editors, ghost telemetry runs, and responsive fullscreen scaling into your AI game creations.

AI Game Jams: Go from Zero to Published in 48 Hours
A step-by-step roadmap to brainstorm, prototype, polish, and deploy an arcade entry using Cursor, Claude, and VibeGames.

AI Productivity: System Prompts for Code Refactoring
Learn how to configure role-based constraints and strict syntax rules to prevent LLMs from truncating code or breaking core logic during massive refactors.

State of AI 2026: The Rise of Agentic Workspaces
An overview of how modern code editors and LLM APIs are shifting from chat completions to autonomous file editing, terminal integration, and sandboxed previews.

LLMs for Level Design: Procedural Generation Prompts
How to prompt AI models to output structured JSON representations of levels, obstacle layouts, and enemy spawn coordinates that load cleanly into game engines.

Web Audio Synths: Simple Synth Designs for AI Code
A developer's cheatsheet for prompting AI coding models to generate laser sounds, coin collections, explosions, and retro background music loops.

AI Sandbox: Safely Embedding Sandbox Code in Iframes
Best practices for configuring the HTML5 sandbox attribute, window postMessage communication, and origin boundaries when running AI-generated scripts.

AI UI Design: Prompting for CSS Layouts & Palettes
Essential prompt templates to get LLMs to design glowing cyber aesthetics, glassmorphism, responsive grids, and harmonious retro color palettes.

Debugging Spaghetti: Prompting for Massive Codeblocks
Tactical prompts and strategies to feed an LLM when it gets confused by circular references, variable scope leakage, and huge single-file scripts.