This content originally appeared on DEV Community and was authored by Mora Larsen
I’m working on my own game and have been seriously thinking about how to implement RNG. I’m not just interested in calling a built-in random() function — I want to understand how number generation works under the hood. I want the system not only to appear random but also behave consistently in tests. The challenge isn’t generating a number, but integrating that number fairly into game logic where balance and player experience matter. I’m experimenting with different pseudo-random algorithms, looking into how Mersenne Twister behaves, and considering custom seeding based on player input.
To understand how it’s done by bigger studios, I looked at how online game providers implement RNG — specifically Pragmatic Play. Their slot games show stable randomness while maintaining a predictable RTP. The way they balance visual dynamics with probability mechanics is impressive. Games like Gates of Olympus or Sweet Bonanza use RNG not just to spin reels, but to determine cascading wins and multipliers that shape the emotional rhythm of the gameplay. I read a full overview of Pragmatic Play’s games and paid attention to how bonus logic is built — all tied to an internal randomness system that the player doesn’t see, but definitely feels.
I’m curious — as fellow developers, what approaches do you take when implementing RNG in your projects? Do you build something custom, or rely entirely on standard library generators? And how do you test your system for true unpredictability without compromising game balance?
This content originally appeared on DEV Community and was authored by Mora Larsen