If you have been following developer Twitter or Hacker News over the last few weeks, you have likely seen a surge of "Photoshop clones" built entirely in a weekend using LLMs. Prompts go in, complex WebGL shaders, canvas manipulations, and generative AI features come out. The community has dubbed this trend "vibe coding"—the art of orchestrating high-level AI assistants to generate full-stack applications without writing every line of boilerplate by hand.
While the initial reaction to vibe-coded apps ranges from awe to skepticism, software engineers need to look past the hype. Building a performant, browser-based image editor requires solving real, hard technical problems: high-resolution canvas state management, real-time pixel processing without freezing the UI thread, and seamlessly orchestrating local WebAssembly models with cloud-based generative AI endpoints.
Today, we are going to dissect the modern architecture of these web-based image manipulation tools. We will explore how you can go from a simple "vibe" to a battle-tested, production-grade Web