스크립트
00:00:00"Spotify ships 4,500 production deploys a day
00:00:05and 73% of all pull requests are now AI-assisted."
00:00:10Wow.
00:00:11Especially the 4,500 production deploys a day,
00:00:15that is really impressive.
00:00:16And I'm not sure if it's impressive in a good way.
00:00:19And there is a funny comment below that post on X,
00:00:23which I enjoyed quite a bit.
00:00:25Are they doing a PR, a pull request for every song?
00:00:28And yeah, it certainly seems like.
00:00:30I mean, this is from the Claude Devs X account.
00:00:35It's an advertisement for Claude Code,
00:00:37because as we learn in this thread,
00:00:39they are of course using Claude Code
00:00:42and anthropic models for shipping that much.
00:00:45And of course, if you watched some of my earlier videos,
00:00:48you know, I also use AI-Agents, of course.
00:00:50It is the future.
00:00:52It is how software development works these days.
00:00:54And I have a Claude Code course where I share all my insights,
00:00:57and tips and tricks, and how to use this tool effectively.
00:01:00But 4,500 production deploys a day, really?
00:01:05I mean, yeah, Spotify clearly is a large company.
00:01:08That's no secret, but you have to wonder what are they doing?
00:01:12I am an active Spotify user.
00:01:15And I feel like the app, well, has not changed that much,
00:01:21certainly not to the better over the last year or so.
00:01:26And it truly is too much for me to grasp what could be in those 4,500 production deploys a day.
00:01:37And please, and this is no joke, I absolutely mean it.
00:01:40Please share in the comments what you think they are shipping all day.
00:01:44Now, the 73% of all pull requests, yeah, sure.
00:01:48I mean, AI-assisted can be anything theoretically.
00:01:51Obviously, a simple completion, tab completion, old school style,
00:01:58whilst you are reviewing the PR and maybe making some changes could count as AI-assisted.
00:02:04And of course, having an AI agent analyzed that would also be AI-assisted.
00:02:08And frankly, I wonder that it's not 100% because AI, I would imagine,
00:02:13would be involved in pretty much all PR reviews or the creation of pretty much all PRs.
00:02:20But yeah, I'm sure this number will change.
00:02:22Wouldn't be strange to see that.
00:02:26But that first number is really kind of a trend we can see in general, right?
00:02:34We had the entire token maxing debate a couple of months ago.
00:02:38Then many companies realized that this is too expensive and just telling your software engineers
00:02:44to burn as many tokens as possible is probably not a good strategy
00:02:48because it's pretty easy, obviously, to burn tokens and doesn't guarantee good results.
00:02:53Now we seem to be shifting to an era where it's quite popular to be shipping a lot.
00:02:58Because, of course, with AI, you can, right?
00:03:01You can ship a lot.
00:03:02You can have like five agents running simultaneously using Gitwork trees,
00:03:06working on four different projects at a time.
00:03:08And yeah, you can parallelize to some degree.
00:03:12You can build lots of stuff with AI for sure.
00:03:15No doubt about that.
00:03:17And it can accelerate you as a software developer.
00:03:20It can also slow you down.
00:03:21We've all been there where you went down a road with AI,
00:03:25where you became more and more of a vibe coder
00:03:28because you became too lazy to actually evaluate what the AI generated
00:03:32because it just feels so fast to keep on going.
00:03:36And then at some point, you have no understanding of your code base at all,
00:03:39but something doesn't work or you're not happy with the direction it's taking
00:03:42and you abandon that project or you undo a lot.
00:03:48And well, we can argue if you're really being more productive then.
00:03:52But that aside, and we're all still trying to figure out how to best use AI,
00:03:58you can be more productive with it.
00:04:01I mean, even if you would just give it a pretty clear plan of what it should do
00:04:05and it would be a tiny feature,
00:04:06just having it spit out large chunks of code can speed you up.
00:04:10I'm not sure if it's like a 10x improvement or even more as some people claim.
00:04:14And I'm not sure if 4,500 deploys a day is the measure we should go for.
00:04:22I think we should really aim for figuring out how to use AI effectively,
00:04:28how to, sure, speed up our software delivery,
00:04:32but maybe, maybe also focus a bit on the quality, not just the quantity.
00:04:37Right now, we're all in that quantity era, right?
00:04:39Token maxing number of deploys.
00:04:41Quality also matters and AI can help with that.
00:04:45But good old testing, also human testing,
00:04:48not just automated tests generated by AI,
00:04:51where it also has a tendency or can have a tendency of writing tests that pass
00:04:56but don't actually test anything.
00:04:57But that aside, good old manual testing
00:05:00and really just injecting your taste and your decisions as a human into the workflow.
00:05:07These are all probably good ideas, I feel like.
00:05:09And yeah, will be interesting to see when this trend ends.
00:05:13I just stumbled across that number, wanted to share my amazement of that number.
00:05:18And as I mentioned before, I really want to hear,
00:05:20what do you think is Spotify shipping all day long?
00:05:25Because I really just can't grasp it.
00:05:29Sorry.