OK, I admit that I’m sometimes too focused on technology to realise that not everyone is aware of all the different AI services out there. — This week, I mentioned Mistral.ai to a colleague and was surprised that he hadn’t heard of it. But, as I said, you can’t know everything.
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Those Who Forget the Dotcom Crash Are Doomed to Repeat It — with GenAI
A friend recently recommended Craig McCaskill’s article “The Bubble That Knows It’s a Bubble” with a disclaimer “it’s quite a read”. After forgetting it and coming back to it later I can say: it’s so worth reading it!
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“Six hard truths for software development bosses” also applies for Project Management!
I just came across “Six hard truths for software development bosses” on InfoWorld. Ah well – a quite catchy title. But it’s worth a read for everyone who manages / leads people in the area of Software Development.
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Handling 3,500 drones to recreate Michelangelo’s masterpieces in a huge Lightshow
Thanks to the Fediverse integration of Flipboard I just saw the post from National Geographic where they link “Grace for the World: Recreating Michelangelo’s masterpieces above the Vatican“.
At first I thought it was mainly about how impressive the show itself was. But there’s also another topic: the technology and the team behind the scenes:
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Is the GenAI Revolution over already?
Just recently I saw the article (that probably most of us already noticed with a gentle smile), that AI coding tools can slow down seasoned developers by 19% (on InfoWorld). And just now I came to another article on Futurism, that “AI Use Is Now Declining at Large Companies”.
Heise.de picked up the article as well (Ernüchterung statt Euphorie: KI-Nutzung in den USA geht zurück) and outlines that the big hope of additional revenues has not come true (well … as if a technology would print money) and that the negative effects start to be more visible.
Yeah well — I’m wondering where exactly we might be in the Gartner Hype Cycle. I guess somewhere near the “Trough of disillusionment”? I don’t think that there is any doubt that GenAI has some really really beneficial use cases. But to me it did sound a lot like the time when the use of big data was totally overhyped.
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Atlassian DataCenter EOL
I just read on heise.de that Atlassian has announced their EOL (End Of Life) dates for several DataCenter products. The critical date – according to Data Center End of Life | Atlassian – seems to be March 28th, 2029. Quite some time yet, but well – a migration will take some time.
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Farewell to my 11.5-Year-Old RaspberryPi Weather Station
Eleven and a half years ago, I built my first RaspberryPi weather station using sensors from Tinkerforge. Today, I shut it down for good. Not because it failed — but because its job is done. It’s been replaced by a Netatmo setup, and unfortunately, I don’t need it anymore. But admitting that a project’s lifespan is over always takes some effort — well, to me at least.
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The Difference Between DevOps, SRE, and Platform Engineering
DevOps, SRE, Platform Engineering — those three terms that often and quickly get mixed up. But they describe different roles. And I think it’s good to know the difference — at least if you’re somehwere working in modern software development.
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AI vs. the Legacy Black Box Codebase
If you want to see a cool example of how Generative AI can be used to tackle one of the nastiest problems in enterprise IT, you might want to invest some minutes in reading “From Black Box to Blueprint.”
What it’s about: Large organizations often have to rely on systems that are both business-critical and poorly understood due to lots of legacy. The article describes how Thoughtworks approached such a case: combining a multi-lens strategy (UI reconstruction, logic inference, change data capture, etc.) with AI-assisted “binary archaeology.”
I really like the idea as it’s not about replacing humans, not hype but solving a real problem: complex — legacy — codebases. Something no one of us likes to lay their hands on.
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It’s only AI if it’s cool!
I guess I am not the only one who is quite annoyed that nowadays everything is AI. Literally everything that’s beyond an
if/elseis advertised as AI. Machine Learning doesn’t seem to exist anymore.Unless … Unless it’s not cool!
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