YouTube is an amazing place to learn new skills and if you want to learn how professionals deploy code, a peek behind the AWS curtain can be very helpful even if it is too expensive for your toy website.
265 karma · joined December 4, 2014
YouTube is an amazing place to learn new skills and if you want to learn how professionals deploy code, a peek behind the AWS curtain can be very helpful even if it is too expensive for your toy website.
I would also not judge you for having your own preferences and opinions. I too prefer working in an office to remote work, but when I say this out loud other developers take it as advocating RTO or saying remote work is worse when it just doesn't suit my personality. I get that it's a touchy subject but there is no need to get up in my face about it.
You mention bullying and brigading and that seems to be an unfortunate reality of this industry. I suspect there is a lot of insecurity and imposter syndrome that causes people to write hyper-confident blog posts about why they are better without AI and how their tests have 100% coverage and how (unfashionable language which half the world uses) is garbage etc. Maybe if we all follow your example and be candid everyone could chill out a bit.
I'll go next: despite trying several times, I have never successfully written anything more complicated than Fibonnacci in Lisp or Haskell. I know it's clean and pure and all that, but my brain just won't work that way.
I've been writing code for 36 years, so I don't take any of the criticism to heart. If you know what you are doing, you can ship production quality code written by an LLM. I'm not going to label it "made by an AI!" because the consumer doesn't care so long as it works and who needs the "never AI!" backlash anyway?
But to the OP: your standards are too high. AI is like working with a bright intern, they are not going to do everything exactly the way that you prefer, but they are enthusiastic and can take direction. Choose your battles and focus on making the code maintainable in the long term, not perfect in the short term.
That said, I think everyone can relate to wasting an awful lot of time on things that are not "interesting" from the perspective of the project you are working on. For example, I can't count the number of hours I've spent trying to get something specific to work in webpack, and there is no payoff because today the fashionable tool is vite and tomorrow it'll be something else. I still want to know my code inside and out, but writing a deploy script for it should not be something I need to spend time on. If I had a junior dev working for me for pennies a day, I would absolutely delegate that stuff to them.
You have to keep in mind that the wave function represents the many places the particle can be with some probability, as well as the many frequencies it could have, so what uncertainty means in this case is that if you constrain the function to a small area in space (with zero probability outside it) you necessarily end up with a momentum function that spreads across many different velocities.
I totally agree with you that the architectural changes should be agreed upon in advance, with direct conversations happening and whiteboards if necessary. I tried to make it clear in the post that architecture design should happen before any coding begins, but the gap I noticed was that even with full agreement on a schema or even down to the function level, there are still important details to work out before writing logic and UI on top of it, and that requires special attention from reviewers.
Just to play devil's advocate though, if you avoid face-to-face design sessions and do everything through code reviews, you will be forced to explain your thinking in text, and the whole conversation will remain as a record for future developers getting familiar with the code who may be confused about why things were done a particular way. The code review paper trail is immensely helpful to understanding a large codebase - reading through sparse meeting notes is never as good.