Recognizing Constraints An Article by Jeremy Wagner css-tricks.com Super Nintendo games were the flavor of the decade when I was younger, and there’s no better example of building incredible things within comparably meager constraints. Developers on SNES titles were limited to, among other things: 16-bit color. 8 channel stereo output. Cartridges with storage capacities measured in megabits, not megabytes. Limited 3D rendering capabilities on select titles which embedded a special chip in the cartridge. Despite these constraints, game developers cranked out incredible and memorable titles that will endure beyond our lifetimes. Yet, the constraints SNES developers faced were static. You had a single platform with a single set of capabilities. If you could stay within those capabilities and maximize their potential, your game could be played—and adored—by anyone with an SNES console. PC games, on the other hand, had to be developed within a more flexible set of constraints. I remember one of my first PC games had its range of system requirements displayed on the side of the box: Have at least a 386 processor—but Pentium is preferred. Ad Lib or PC speaker supported—but Sound Blaster is best. Show up to the party with at least 4 megabytes of RAM—but more is better. constraints
The fastest way to learn something is to do something An Article by David R. MacIver notebook.drmaciver.com Suppose you have a problem to solve. What do you do? Well, you sit down and think real hard, and after extensive and careful planning you try the well thought out and rigorous solution that you have thought up. Right? No, wrong! Bad. The correct thing to do when you have a problem is: Think for a short amount of time. Make sure it is safe to try things. Try something you think will work. Observe the result. If you succeeded, yay you solved the problem! If it didn't work, think about what that means for the nature of the problem and try again. The Feynman Algorithm problemsprototypesfeedback