Comment by dap
Comment by dap a day ago
At my last job, we only updated dependencies when there was a compelling reason. It was awful.
What would happen from time to time was that an important reason did come up, but the team was now many releases behind. Whoever was unlucky enough to sign up for the project that needed the updated dependency now had to do all those updates of the dependency, including figuring out how they affected a bunch of software that they weren't otherwise going to work on. (e.g., for one code path, I need a bugfix that was shipped three years ago, but pulling that into my component affects many other code paths.) They now had to go figure out what would break, figure out how to test it, etc. Besides being awful for them, it creates bad incentives (don't sign up for those projects; put in hacks to avoid having to do the update), and it's also just plain bad for the business because it means almost any project, however simple it seems, might wind up running into this pit.
I now think of it this way: either you're on the dependency's release train or you jump off. If you're on the train, you may as well stay pretty up to date. It doesn't need to be every release the minute it comes out, but nor should it be "I'll skip months of work and several major releases until something important comes out". So if you decline to update to a particular release, you've got to ask: am I jumping off forever, or am I just deferring work? If you think you're just deferring the decision until you know if there's a release worth updating to, you're really rolling the dice.
(edit: The above experience was in Node.js. Every change in a dynamically typed language introduces a lot of risk. I'm now on a team that uses Rust, where knowing that the program compiles and passes all tests gives us a lot of confidence in the update. So although there's a lot of noise with regular dependency updates, it's not actually that much work.)
Yes, I’ve had exactly the same experience. Once you get off the dependency train, it’s almost impossible to get back on.
I don’t think this is specific to any one language or environment, it just gets more difficult the larger your project is and the longer you go without updating dependencies.
I’ve experienced this with NPM projects, with Android projects, and with C++ (neglecting to merge upstream changes from a private fork).
It does seem likely that dynamic languages make this problem worse, but I don’t think very strict statically typed languages completely avoid it.