From 20y experience and CS degree, I see software engineering as a constant struggle against accidental complexity. Like quicksand, every movement you make will pull you deeper, even swimming in the right direction. And like entropy, it governs all things (there are no subfields that are free of complexity). It even seems impossible to give a meaningful, useful definition, perhaps by necessity. All is dark.
But now and then, something beautiful happens. Something that used to be dreadful, becomes "solved". Not in the mathematical strict sense, but some abstraction or some tool eliminates an entire class of issues, and once you know it you can barely imagine living without it. That's why I keep coming back to it, I think.
As a species, I think we are in the infancy stages of software engineering, and perhaps CS as well. There's still lots of opportunity to find better abstractions, big & small.
This was really well written and I agree with you completely. Though I am not so optimistic as a species we have much runway left to get meaningfully much farther out of that infancy.
As tech progresses and those abstractions become substantially more potent, it only amplifies the ability of small groups to use them to massively shape the world to their vision.
On the more benign side of this is just corporate greed and extraordinary amplification of wealth inequality. On the other side is authoritarian governments and extremist groups.
Wonderful article, thanks for sharing. These complexity definitions and the connection to linguistic complexity are useful. Also enjoyed this line:
> The cognitive complexity of a function can only be determined by the reader, and only caring about the reader can enable the writer to improve the learning experience.
From 20y experience and CS degree, I see software engineering as a constant struggle against accidental complexity. Like quicksand, every movement you make will pull you deeper, even swimming in the right direction. And like entropy, it governs all things (there are no subfields that are free of complexity). It even seems impossible to give a meaningful, useful definition, perhaps by necessity. All is dark.
But now and then, something beautiful happens. Something that used to be dreadful, becomes "solved". Not in the mathematical strict sense, but some abstraction or some tool eliminates an entire class of issues, and once you know it you can barely imagine living without it. That's why I keep coming back to it, I think.
As a species, I think we are in the infancy stages of software engineering, and perhaps CS as well. There's still lots of opportunity to find better abstractions, big & small.
This was really well written and I agree with you completely. Though I am not so optimistic as a species we have much runway left to get meaningfully much farther out of that infancy.
As tech progresses and those abstractions become substantially more potent, it only amplifies the ability of small groups to use them to massively shape the world to their vision.
On the more benign side of this is just corporate greed and extraordinary amplification of wealth inequality. On the other side is authoritarian governments and extremist groups.
Can you provide some examples of these beautiful abstractions or tools?
Wonderful article, thanks for sharing. These complexity definitions and the connection to linguistic complexity are useful. Also enjoyed this line:
> The cognitive complexity of a function can only be determined by the reader, and only caring about the reader can enable the writer to improve the learning experience.