Just chatting, AMA

MMaximilian Schwarzmüller
컴퓨터/소프트웨어경영/리더십AI/미래기술

스크립트

00:00:00I thankfully could,
00:00:01are in high danger of dropping out
00:00:04because there's nothing left then.
00:00:06And I totally get that.
00:00:09Currently learning Docker Kubernetes
00:00:11on Udemy with your course.
00:00:12Thank you for the great work in the age of AI.
00:00:15Not sure how much this knowledge is worth.
00:00:16It's worth knowing how it generally works,
00:00:19but you will not be writing so many Docker files,
00:00:21but knowing what it is,
00:00:23how to think of it,
00:00:25how to structure multi-container applications
00:00:27is just as important as it's important
00:00:30to be able to build applications.
00:00:32But you probably won't be writing
00:00:35those Docker files necessarily anymore.
00:00:38You have a Power BI course.
00:00:39Do you think even learning that
00:00:41at this point is useless?
00:00:42That course was created by manual.
00:00:44I'm not too much into data science, to be honest,
00:00:47but for us, I can say
00:00:49we're doing a lot of data science internally,
00:00:51analyzing all kinds of data,
00:00:53financial data and our customer data and so on.
00:00:56And we're not using Excel or Power BI.
00:00:59We're doing it all with AI.
00:01:00So if that is any indicator,
00:01:02yes, it's becoming less important.
00:01:04But we're moving fast here
00:01:05because we're using all that stuff
00:01:07all the time, every day.
00:01:09Bigger companies certainly aren't.
00:01:12With all the AI noise now,
00:01:14does building open source code
00:01:15and pushing to GitHub have any value?
00:01:17For you to grow
00:01:18and to practice working with AI, for sure.
00:01:21To gain traction or reach or visibility,
00:01:25it definitely changed
00:01:26and is less important, I would say.
00:01:29Thank you, Max.
00:01:30You are the best.
00:01:30You and all of you are the best.
00:01:32That's been a fun stream here
00:01:34and I appreciate all the nice messages on.
00:01:38And yeah, all you should be working.
00:01:40So yeah, thank you all for being here.
00:01:44Companies push AI speed over software quality,
00:01:46yet misty connection to rising bug rates.
00:01:49We're currently in that chaotic phase
00:01:53and for now it will be that phase.
00:01:56And I'm sure companies will,
00:01:57we will all find a better way forward at some point.
00:02:01But right now it's accelerating so quickly
00:02:04and so much changed.
00:02:06And then companies,
00:02:07you have people making decisions
00:02:08that just see a demo
00:02:11or that maybe just played around over Christmas
00:02:13and say, hey, we got to do it like this
00:02:14and we got to ship 10x what we shipped before.
00:02:18The disappointing answer is for now,
00:02:21it'll stay like this.
00:02:23But I'm sure we will
00:02:25and we can leverage AI also
00:02:26to improve quality,
00:02:28to improve performance.
00:02:29And the market will probably filter out
00:02:33the companies that don't come
00:02:34to this conclusion at any time.
00:02:36A friend of mine has experienced massive burnout
00:02:38because the company he works for
00:02:40is forcing developers through AI so fast.
00:02:43Yeah, I mean, companies forcing AI on developers
00:02:46is in general something I get.
00:02:48What I don't get is if ideally you have an open conversation
00:02:53from both sides.
00:02:55And I'm sure there are developers
00:02:57who just don't want to use AI.
00:02:59And I'm sorry,
00:03:00but if I had an employee
00:03:03who just doesn't want to use AI,
00:03:05I would fire them.
00:03:07On the other hand,
00:03:08I also see that it's super annoying
00:03:10if you want to use AI
00:03:11and you're using it,
00:03:12but you see that certain things
00:03:14just don't make sense.
00:03:16You're using agents and everything,
00:03:18but it doesn't make sense
00:03:20to move at the speed
00:03:22your boss wants to move
00:03:23or to ignore things you should be doing.
00:03:27And ideally both sides
00:03:29have an open, honest conversation
00:03:31and an openness on both ends.
00:03:35And I'm not ignorant
00:03:36or I know that this is not
00:03:40how it will work in many companies.
00:03:42And therefore I totally get
00:03:43that this can lead to burnout
00:03:44and all kinds of other bad things.
00:03:49Down the line of five years,
00:03:50what will be the career in DevOps and cloud?
00:03:52I have no idea what I said before.
00:03:54There will still be jobs there
00:03:56because of inertia,
00:03:57companies moving slow.
00:03:59There will be jobs there.
00:04:01I don't know how DevOps will look like
00:04:04at the bleeding edge in five years.
00:04:06I have no idea.
00:04:08Do you have any thoughts
00:04:09about yesterday's DHA's keynote
00:04:11about rewriting Hay and Rust?
00:04:13I agree with DHA on a lot of things
00:04:17he's saying there about AI
00:04:19and about AI progress
00:04:20and how you should embrace it in general.
00:04:25And I think one huge advantage of AI
00:04:27is that it's now easier than ever
00:04:29to pick the best language
00:04:31or the best framework for a job
00:04:33based on performance
00:04:35or hardware restrictions and so on.
00:04:37Now, I don't necessarily say
00:04:40that that means you should...
00:04:41There are areas where it's probably too risky
00:04:47if you're not an expert on a language,
00:04:49but I think there are many areas
00:04:51where you can give it a try
00:04:52and where you can be programming language fluid
00:04:57if you want to call it like this.
00:05:00I only sent a harmless question.
00:05:02I'm very sorry then.
00:05:03I don't know.
00:05:04I will have to check the settings
00:05:05after the stream ends 11.11.
00:05:08Very sorry about that.
00:05:11My favorite classic movies?
00:05:13Probably Star Wars and The Godfather.
00:05:17It's hard for Leeds Architects
00:05:19to make sure to mentor Juniors properly.
00:05:23Yeah.
00:05:23I'm sure there is a lot of friction right now
00:05:26between hierarchies
00:05:28and inside of companies in general.
00:05:33Okay.
00:05:34So I have to wrap up.
00:05:35Last question.
00:05:36Do you have any favorite TV series or books?
00:05:39I loved...
00:05:41Yeah.
00:05:41So the boring answer is Game of Thrones,
00:05:43both the books and the series.
00:05:46Other than that,
00:05:47I love the Terry Pratchett books.
00:05:48I'm in general a fantasy guy,
00:05:50as you can probably tell.
00:05:52Or Hitchhiker's Guide for the Galaxy
00:05:54is an amazing book.
00:05:57And yeah,
00:05:59for TV shows,
00:06:00I like like the boring ones.
00:06:02Big Bang Theory,
00:06:03How I Met Your Mother,
00:06:05Friends,
00:06:07and so on.
00:06:08Yeah.
00:06:08So I got to wrap up.
00:06:10Thank you all for joining.
00:06:11It was a fun stream.
00:06:13I hope you liked it too.
00:06:15Recording will stay online.
00:06:17I'll try to be back.
00:06:18Not next week.
00:06:19I don't have time there,
00:06:21but hopefully the week thereafter.
00:06:23And yeah,
00:06:24thank you all for joining
00:06:25and for having such a great stream together.
00:06:29Really,
00:06:29it was a lot of fun.
00:06:30So I wish you all the best.
00:06:33You're all amazing.
00:06:34And thanks for all the nice messages
00:06:36and so on.
00:06:36So yeah,
00:06:37thank you.
00:06:38Have a great morning,

핵심 요약

AI tools are shifting software engineering from manual syntax writing to high-level architectural oversight, rendering traditional data tools like Excel obsolete while demanding open collaboration between leadership and developers to prevent burnout.

하이라이트

  • Understanding container architecture and structuring multi-container applications remains critical, even as AI handles writing Dockerfiles directly.

  • Internal data analytics teams at tech-forward companies rely entirely on AI workflows rather than traditional tools like Excel or Power BI.

  • AI-assisted development enables developers to adopt language fluidity, selecting languages such as Rust based on performance requirements rather than existing domain expertise.

  • Pushing open source projects to GitHub serves primarily as personal skill development rather than a reliable strategy for visibility or reach.

타임라인

Role of Docker, Power BI, and GitHub in the AI Era

  • Architectural knowledge of multi-container applications is necessary even when AI generates Dockerfiles.
  • Internal analytics operations skip Excel and Power BI in favor of AI-driven data analysis.
  • GitHub repositories build personal AI implementation skills rather than driving public reach.

Foundational technical knowledge remains essential for structuring complex systems, though routine syntax implementation decreases as automation grows. Organizations operating at high velocity replace legacy visualization tools like Power BI with direct AI analysis pipelines. Developing open-source software functions as a personal testing ground for AI workflows rather than an audience growth mechanism.

Software Quality and Corporate Development Velocity

  • Executive mandates pushing 10x output based on simple AI demos create software quality risks.
  • Refusing to integrate AI tools warrants termination in modern development environments.
  • Forced acceleration without architectural alignment causes severe developer burnout.

Executive decision-makers frequently mandate massive production increases after seeing initial AI demonstrations

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