Great post - the one word missing, "maintenance." Most programming work is done maintaining/enhancing existing code. The greenfield work is a piece of cake by comparison.

You want to do the hard stuff? Maintain existing code you're not familiar with.

The problems around maintaining unfamiliar code are huge, largely unsolved, expensive and risky. There's a little branch of computer science called Program Comprehension and no one pays any attention. Though most programming money is spent on maintenance.

I've also wondered if it's time to back off on agile a bit. Or at least "agile" as it is implemented generally, which means we get to make up new requirements every two weeks. In my experience, the hardest maintenance problems occur because we're trying to re-shape code into something that the developers never knew would be coming down the line. Spending lots more time up-front deciding requirements would go a long ways towards more maintainable code.

Maybe I'm just an old curmudgeon, but it seems to me there's way too much emphasis on speed of development in general. Time to market seems to be more important than quality, robustness, security, performance, or any other concern.

Another thing that rubs me wrong is the recurring notion that we need to get rid of the text as a representation of code. I've yet to meet a mathematician who wants to get completely rid of formulas because coming up with a proof is slow and cumbersome.

I understand that the incentives are drastically different between academia and business, but perhaps we've gone too far in this particular direction. Perhaps it's okay to admit that programming isn't as easy as we all want it to be and it's okay to take the time to change things carefully instead of moving fast and breaking stuff.

> Another thing that rubs me wrong is the recurring notion that we need to get rid of the text as a representation of code.

I completely agree with this notion. However, I feel like we're sorely missing out on some form of visual exploration. I feel like the majority of my time is spent trying to understand the flow of execution of a program I'm trying to maintain that was written by other teams that are long gone.

It would be so amazing to be able to "zoom out" from the text and get a graph view of execution flow through different files. And then being able to highlight a particular execution flow that you're studying would be great. I know we already have some flavors of this with "find all references", or something like Visual Studio's profiling tools that highlight flows of execution, but none of these have ever felt like they improve the exploration of the codebase very much.

It would be very interesting to see some tools that allow a more fluid exploration of an unknown codebase. More akin to zooming out of a Google map view and tracing flow from point to point, instead of diving headfirst into a million files looking for the correct information.

Sourcetrail actually tried to do that for a select few languages https://github.com/CoatiSoftware/Sourcetrail

Sadly, they retired the entire project a while back.