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As a developer, your job isn't about how much code you write, it's about how effectively you solve problems. The best code is code you don't write & maintain -- because you're using off-the-shelf solutions, or because you're picking solutions that involve fewer subproblems.
One example. Your boss says "we need to detect when someone is cooking in the kitchen" A bad dev would buy a camera, spend $10,000 on data collection, and spend weeks building a custom CNN-LSTM architecture using a low-level library where they manage their own training loop.
A good dev would buy a few $5 temperature sensors, spend a couple hours on data collection, train a simple logistic regression with sklearn, and be done in an afternoon. This dev also ends up with a far more reliable and maintainable system, with far less privacy implications.
(A *really* bad dev would also spend an extra 2 weeks trying out their idea about using GANs for data augmentation in their activity classification CNN-LSTM, needlessly burning several MWh in the process.)
So True. Check this out @StevendMeza
Indeed, but in many cases off-the-shelf generic solutions add more baggage to the final work and often you end up wasting more time to learn their inner workings + tweak them to your needs. Knowing when to rely on other peoples work vs rolling your own is truly wise engineering.
True but producing good software or system = balance considerations, bias shld be towards existing components where sufficient, optimal. prob u point out is picking good components, putting them together in a system in efficient way where lifecycles + resource optimized too.
@jivinjules here is a word of encouragement
Since we like optimization: "the goal is to minimize the amount of work being done".
No! This is a common error among devs, because it's seductive to think less work is always better. But if that's true, then your best bet is not to solve the problem at all The goal is to maximize value; to maximize the return on the work you do
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