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!
(more…)Tag: GenAI
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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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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/else
is advertised as AI. Machine Learning doesn’t seem to exist anymore.Unless … Unless it’s not cool!
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The Double-Edged Sword of Generative AI in Linux Troubleshooting
I’ve recently been experimenting with how generative AI can support Linux debugging. The experience was both impressive and frustrating — depending on whether I was diagnosing or actually fixing a problem.
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When Vibe Coding backfires: AI deletes company’s Database
AI agents “cannot be trusted [and] you need to 100% understand what data they can touch. Because — they will touch it. And you cannot predict what they will do with it.”
Sounds like the statement of an AI hater — but in fact it’s from Jason Lemkin who was using Replit (an AI powered software development platform) — after it deleted the complete production database.
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When AI Writes Code — Who Really Sets the Price?
AI writing code sounds like every CEO’s dream: cheaper, faster, maybe even better. But what if swapping expensive developers for clever tools just creates a new kind of risk?
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Is it finally over for Developers?!
We’ve heard it all a couple of times: “GenAI is replacing Software Developers”, Vibe Coding, … A C-Levels dream to (finally) get rid of expensive software developers by using AI.
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Why do I feel triggered when Managers talk about AI?
I still don’t know why it triggers me so much when managers talk about “(Gen)AI” with such fascination. Maybe because I get the feeling that they tell themselves that IT problems will magically disappear?
But … what does ChatGPT say … the AI for sure must know (*cough*)
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The truth about (Gen)AI
(✅ clickbait title)
Recently I attended a GenAI event organized by <big company>. All professional, interesting, insightful. Really good. (Really! I mean it! No sarcasm.)Until it hit me like a blow during a discussion:
I DO KNOW the whole plot already!
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