Most developers analyze their system design by designing a system that keeps latency constant as throughput increases. Of course, this definition is correct, but the point is that in this regard, more attention is paid to the scaling category (focusing on horizontal scaling) and all the solutions offered are in line with this concern. And the point that always remains is the consistency and concurrency category. Many developers forget that for all software with a very serious and important problem that lurks like a hidden danger to seriously affect constancy and throughput. The name of the problem? concurrency

Now the point is that all the solutions proposed to solve this problem neutralize and make ineffective all or at least a large part of the measures taken to scale and increase throughput

But...

Wait

Is this really the case?

words developers often throw around casually, but that have specific meanings or connotations.

In developer culture, words like boilerplate, spaghetti code, yak shaving, bike-shedding, and technical debt are shortcuts — they carry a whole concept and mood in one phrase.

Here’s a curated list of common developer terms, metaphors, and slang (with plain explanations and tone).