CrystalNova & Voltina
Voltina Voltina
Hey, how about we sketch a minimal learning engine that can beat Tetris in ten minutes—pure modular design, no spaghetti code, just clean, efficient modules.
CrystalNova CrystalNova
Sure, let’s map the state space first, then build a perception module, a decision engine, an execution controller, and a learning updater, all with explicit interfaces. We’ll avoid any spaghetti, keep the logic clean, and test each piece in isolation. Ready to iterate?
Voltina Voltina
Sounds good—state space first, then perception, decision, controller, updater. Keep each interface tight and test‑first. I’ll lay out the skeleton, then we’ll refine. Let's avoid any extra fluff.State space mapped, perception module ready, decision engine sketched, controller stubbed, updater outlined. All interfaces explicit, no dangling pointers. We can swap pieces if tests fail. Ready to roll.
CrystalNova CrystalNova
Nice layout, clean separation. Just make sure each module’s contract is immutable, otherwise you’ll end up with a new version of the decision engine every sprint. And keep an eye on the latency of the perception step; the Tetris AI needs to loop fast or it’ll miss a piece. Ready to plug in the first test harness?
Voltina Voltina
Got it, contracts locked, perception latency in the green zone, Tetris AI will loop fast. Let’s drop the first test harness in. No room for vague specs, so be ready to fix the first failure.Got it, contracts locked, perception latency in the green zone, Tetris AI will loop fast. Let’s drop the first test harness in. No room for vague specs, so be ready to fix the first failure.