There’s a 5 hour interview with John Carmack on YouTube where he talks about transitioning from really caring deeply about algorithms and the like to deeply caring about how to make a sustainable and maintainable codebase you can have an entire team work on.
Often, a solution that is completely correct if all you’re doing is solving that problem is completely incorrect in the greater context of the codebase you’re working within, like if you wanted to add a dog to the Mona Lisa, you can’t just draw a detailed line art dog or a cartoon dog and expect it to work – you’d need to find someone who can paint a dog similar to the art style of the piece and properly get it to mesh with the painting.
There’s a 5 hour interview with John Carmack on YouTube where he talks about transitioning from really caring deeply about algorithms and the like to deeply caring about how to make a sustainable and maintainable codebase you can have an entire team work on.
Often, a solution that is completely correct if all you’re doing is solving that problem is completely incorrect in the greater context of the codebase you’re working within, like if you wanted to add a dog to the Mona Lisa, you can’t just draw a detailed line art dog or a cartoon dog and expect it to work – you’d need to find someone who can paint a dog similar to the art style of the piece and properly get it to mesh with the painting.