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#codingai

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🚀 Es ist so weit: Die nächste KI-Stufe ist gezündet! OpenAI hat heute GPT-4.1 vorgestellt – und das Upgrade ist beeindruckend.

Mit einem Kontextfenster von bis zu 1 Million Tokens!

📌 Alle Details und Hintergründe findet ihr hier:
👉 kinews24.de/gpt-4-1-api-ai-mod

Ein echter Gamechanger für Entwickler, Unternehmen und alle, die mit KI arbeiten. Mehr dazu in Kürze – bleibt dran!​

It's gratifying to see my insights about the #techEconomy—especially #ITlayoffs in #cybersecurity and #softwareDevelopment partly driven by the current #AI hype cycle—amplified by peers & media.

"AI can't support what it doesn't know," says James Stanger, the chief technology evangelist at CompTIA, a nonprofit trade association for the US IT industry…"If you've got toxic companies that are interested in that binge-and-purge, on-and-off hiring of developers, I'm not sure they're going to create very good products." (Hoover)

It supports my own #codingAI #metrics that show a human solving a problem the AI never completed even with 400% more time & expert prompting. Confirmation bias? Possibly. Feeling seen & heard? You bet!

  1. Hoover, A. 2025. The career ladder for software engineers is collapsing. Business Insider. businessinsider.com/career-lad

  2. Jacobs, T.A. 2025. AI can’t replace IT professionals yet. LinkedIn. linkedin.com/posts/todd-a-jaco

Business Insider · The career ladder for software engineers is collapsingBy Amanda Hoover

New research on AI and code quality. The people who did the study last year showing AI increases "churn" did a follow-up study this year.

AI enables developers to produce new code substantially faster at the cost of long-term maintainability. Code is added about ~20% faster, but "churn" is ~50% higher, code duplication is ~30% higher, and refactorization is ~80% lower.

youtube.com/watch?v=Et8CqMu_e6s

Here's an #AI** **thought experiment: today** **#codingAI (s) are pretty bad still. In 5 years, they'll be good at what we're trying to get them to do now.

On that trajectory, in 10 they will be able to do a lot more. So here's my question: when AI will be the primary coder, will it develop its own coding language? More performant and better than anything we've ever created so far?

Or will it just converge/loop back to Assembly 'cause that's the root and it's more efficient?