Whenever a programmer says “it’s slow, we should rewrite it” there is probably like an 80% chance that that programmer doesn’t know what they are talking about. As a refrain, it’s pretty close to “works on my machine” for professional malfeasance.
The first issue is that X amount of work cannot be done in any less than X amount of time. In some super cool rare situations, one can achieve a logarithmic reduction of the work, but those types of optimizations do not come easily. It might be the case that the code is de-optimized, but it would be foolish to assume that without actually doing some performance testing.
The driving issue though is usually that the person making that suggestion does not want to actually go and spend time reading the older code. They like to write stuff, but they struggle to read it. So, as their offensive argument, they picked some attribute that is visible outside of the code itself, proclaim that that is the real problem, and use that as their justification to just throwing away someone else's work and starting over from scratch, without bothering to validate any of their assumptions.
Sometimes they have arrived at that argument based on a misunderstanding of the underlying technologies. They often assume that newer technologies are inherently better than older ones. Ironically, that is rarely the case in practice, the software crisis dictates that later programmers understand less of what they are actually doing, so it’s less likely that their repeated efforts will be better in general. It is true that there is some newer knowledge gained, which might feed into improved macro or micro optimizations, but those benefits can be lost to far more de-optimizations, so you can see why that is a really bad assumption. On top of all of that, the software industry has been rather stagnant for actual innovations for a long time now, most supposedly new technologies are just variations on older already existing themes. It just cycles around endlessly these days. Whatever is old is new again.
With all of that added up, you can’t say that an implementation in tech stack A would be faster or better than one in B. It’s not that simple. That’s been true for decades now. There are some pretty famous cases of people going right back to older technologies and using them to get far better results. The tech stack matters for other reasons, but usually not for performance or quality.
About the only thing you can say about one implementation is that it is a whole lot messier and disorganized than another. That the quality of work is poor. It’s just a pile of stuff hastily thrown together. But you cannot know that unless you actually dive in and read, then understand the code itself. You can’t look at 5% of it and draw that conclusion. And any outside behaviors are not enough to make those types of assertions.
Overall it is rarely ever a good idea to rewrite software anymore. There are times and situations when that changes, but it hasn’t been the default for a long, long time. The best alternative is to start refactoring the code so that you keep all of the knowledge that has already built up in it, and learn to leverage that into something that exceeds the scope and quality of the original code. You can’t do that by refusing to read it, or by ignoring the knowledge that went into it. If the code was in active development for a decade, then rewriting it would literally set you back 10 multiplied by the number of programmers involved over that period. Which is a huge backslide, and highly unlikely to be successful in any time frame. It takes an incredibly long time to slowly build up code, so even if it isn’t perfect, it represents a lot of time and knowledge. You need to mine and leverage that work, not just toss it blindly into a dustbin. It’s quite possible that the coders who wrote that original work were a lot better at their jobs than you are at yours.
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