Roy van Rijn
@royvanrijn
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Director of @OpenValue Rotterdam, is a @Java_Champions, founder of @RotterdamJUG, public speaking: Java, AI, math, algorithms 🪨 (also @royvanrijn.com bs)
Rotterdam, The Netherlands
Joined January 2009
👨🏻💼 “You’ve spend quite a lot of time on this piece of code…” 👨💻 “I did.” 👨🏻💼 “But… it looks very simple… almost trivial.” 👨💻 “Exactly, thanks, that’s why it took so long.”
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The em-dash is a clear indicator text was generated by AI. What is the em-dash of generated code?
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First speaker of the day is @wbauweraerts on moving from fragile to fearless tests. Perfect breakdown on how testing should be used to be able to test and deploy with confidence 💪🏼
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I pressed a button and now magically I have a physical thing… 😮
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Found the only sporty challenge at @Devoxx : “How fast can you throw a baseball ? ⚾️” And I smashed the record with a 113 km/h… and now my arm is all pins and needles, worth it though 🤣
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It’s @KoTurk77 at @Devoxx to remind you that you can now get @VoxxedAmsterdam (super) early bird 🐦 tickets! 🎫 Also… the CfP is open: https://t.co/pXPZVIgQms
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I’m actually getting tired of hearing the term “AI agent” and “MCP” 😕 at @Devoxx
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Fearless testing 😨 + Agentic AI 🤖 Two killer talks at the next #RotterdamJUG! Speakers: David Stibbe & Wouter Bauweraerts Host: Lunatech 💙 https://t.co/iseQpSke8F
meetup.com
**RotterdamJUG** is back with **two** amazing talks: **Wouter Bauweraerts** 🇧🇪 will share how to write tests that truly survive refactoring, while **David Stibbe** 🇳🇱
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I’ve been saying this for over three years now: Soon we’ll have Netflix-with-Prompts, where you describe what you want to see, and you and your friends and family can even star in it.
the feature i have worked the hardest and most recently on is Cameos, which lets you make videos starring you or your friends i have met multiple people internally at openai after seeing videos of them show up in the app, and it has felt like we already have something in common
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A software architect with 20 years of experience… Until they took the iSAQB course.
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Pretty sure some of these engineers will make this list in the future: https://t.co/uEoYn0ORKC
en.wikipedia.org
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The more I read about Posit/Unum number format (as an alternative to IEEE 754 floating point) the more I like it/want it. Deep learning could benefit greatly from its tapered precision around 1.0. And its quire accumulator could reduce a lot of computational error.
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