BeforeTheMesh is built on three pipelines — Programming, Graphics, and Geometry — each with its own learning arc. Simulation sits at the intersection of all three, but it belongs firmly in the Programming pipeline. This mini series isolates the simulation concepts so you can master them without jumping prematurely into OpenGL or rendering.

Once you understand how time and integration work, future tutorials will show how to visualize simulation data, how to apply geometry for collisions, and how to integrate physics into the full engine.

Real time engines live in a world that doesn’t exist in nature. In reality, time flows continuously. In a computer, time arrives in discrete slices — tiny packets called frames — and every simulation must decide what to do with them. This mismatch between continuous physics and discrete computation is the core challenge of simulation, and it is the reason this mini series exists.

The Simulation Series introduces the conceptual and architectural foundations that allow an engine to move objects, apply forces, integrate motion, and evolve a world consistently over time. Whether you are building physics, particles, animation, or AI steering, the ideas here form the heartbeat of everything that follows.

In the series we will address issues like:

• How does time advance? Engines must measure time, choose a timestep strategy, and ensure stability even when framerate fluctuates.
• How do quantities evolve? Motion is governed by numerical integration. Euler, RK4, and other methods determine accuracy, stability, and the “feel” of your engine.
• How is the world structured? Bodies, forces, and a simulation loop must work together to update the state of the world in a predictable, modular way.

If you are building your own engine, or simply want to understand how real time systems stay stable and deterministic, this series is the perfect starting point.