| ▲ | pydry 7 hours ago | |||||||||||||
The number 1 issue Ive experienced with poor programmers is a belief that theyre special snowflakes who can anticipate the future. It's the same thing with programmers who believe in BDUF or disbelieve YAGNI - they design architectures for anticipated futures which do not materialize instead of evolving the architecture retrospectively in line with the future which did materialize. I think it's a natural human foible. Gambling, for instance, probably wouldnt exist if humans' gut instincts about their ability to predict future defaulted to realistic. This is why no matter how many brilliant programmers scream YAGNI, dont do BDUF and dont prematurely optimize there will always be some comment saying the equivalent of "akshually sometimes you should...", remembering that one time when they metaphorically rolled a double six and anticipated the necessary architecture correctly when it wasnt even necessary to do so. These programmers are all hopped up on a different kind of roulette these days... | ||||||||||||||
| ▲ | tbrownaw 4 hours ago | parent | next [-] | |||||||||||||
Sure, don't build your system to keep audit trails until after you have questions to answer so that you know what needs to go in those audit trails. Don't insist on file-based data ingestion being a wrapper around a json-rpc api just because most similar things are moving that direction; what matters is whether someone has specifically asked for that for this particular system yet. . Not all decisions can be usefully revisited later. Sometimes you really do need to go "what if..." and make sure none of the possibilities will bite too hard. Leaving the pizza cave occasionally and making sure you (have contacts who) have some idea about the direction of the industry you're writing stuff for can help. | ||||||||||||||
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| ▲ | rcxdude 6 hours ago | parent | prev [-] | |||||||||||||
Aye. The number one way to make software amenable to future requirements is to keep it simple so that it's easy to change in future. Adding complexity for anticipated changes works against being able to support the unanticipated ones. | ||||||||||||||