Forget prompt-engineering maps that look like glitch art. A dev on Hacker News showed us how to build flawless procedural hex maps using Wave Function Collapse.
Lately, everywhere I look, some dev is flexing how they used a shiny new AI generator to create game assets or backgrounds in 5 seconds flat. Sure, it’s fast, but half the time it spits out monstrous anomalies that take longer to fix than to build from scratch. Then today, I scrolled through Hacker News and saw this absolute chad of an article by Felix Turner: "Building a Procedural Hex Map with Wave Function Collapse", sitting comfortably at 475 upvotes. Reading it reminded me that good old-fashioned algorithmic black magic is still incredibly cool and relevant.
For the uninitiated, Wave Function Collapse (WFC) isn't some galaxy-brain quantum mechanics stuff. It's a procedural generation algorithm that's currently the darling of indie game devs.
Think of it like a giant game of Sudoku: You define strict rules (e.g., grass tiles cannot be directly adjacent to lava tiles, roads must connect to roads). You throw a bunch of tiles at the algorithm, and it slowly eliminates possibilities (collapses) until the map is filled perfectly without breaking any of the logical constraints.
Building WFC on a standard square grid is already enough to make your brain sweat, but this madman did it on a Hex Map. Hexagons are aesthetically superior and mathematically better for movement grids, but they increase the number of edges and neighbors. This means your constraint-checking code will easily turn into a spaghetti nightmare if you don't structure your data correctly. Felix broke it down beautifully: from defining tiles and sockets (edge connectors) to handling backtracking when the algorithm inevitably paints itself into a corner.
Browsing through the general dev consensus on this topic, the community usually splits into a few hardcore camps:
At the end of the day, diving into core algorithms like WFC keeps our developer brains sharp. In an era of copy-pasting API calls to generate everything, understanding how constraint-solving actually works under the hood makes you a significantly better engineer.
Plus, if you're building a game or an app that needs logical randomized data, WFC is a godsend. Once you optimize it, you could package it, throw it on a cheap VPS as an automated map-generation API backend, and maybe land a neat little side hustle.
Source: Building a Procedural Hex Map with Wave Function Collapse
