Amine

@aminech.bsky.social

#husban #father 👨‍👩‍👦‍👦 #dev #devops 👨‍💻#cloud ☁️ #aws #java #agile #geek 🚀 @nexaby @aminechaghal@piaille.fr

🚀 Spring Boot 4 tip: Jackson 3 brings JsonMapper as the preferred way to read JSON! Notice the new import. No more ObjectMapper from com.fasterxml! JsonMapper is now your go-to for JSON operations in modern Spring apps.

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LES LLM NE SONT PAS FAITS POUR FAIRE DES MATHS. ILS SONT INCAPABLES DE DISTINGUER LE VRAI DU FAUX, LE RÉEL DE L'IMAGINAIRE. TOUT CELA N'A AUCUN SENS POUR UN LLM. C'EST UN MODÈLE STATISTIQUE QUI RÉDIGE DU TEXTE SELON CE QUIL ESTIME LE PLUS PROBABLE ÊTRE LA RÉPONSE QUE VOUS ATTENDEZ. C'EST. TOUT.

IntelliJ IDEA 2025.1 is out! Highlights include: ⚡️ A major upgrade for JetBrains AI ☕️ Java 24 support 😎 K2 mode by default 📔 Kotlin notebooks for everyone 👀 Control over watch evaluators Learn more at our What’s New page 👇 www.jetbrains.com/idea/whatsnew/

What's New in IntelliJ IDEA

IntelliJ IDEA 2025.1 delivers full Java 24 support, introduces Kotlin notebooks, and makes K2 mode the default, marking a major step toward the best Kotlin experience. Debugging is more powerful, with...

jetbrains.com

Dependencies in Java projects are like garden weeds - they multiply quickly if not managed. In enterprise development, we need to prune regularly to prevent duplicate libraries, security risks, and version conflicts that can block Java upgrades. Keep your dependency garden tended! #Java

[𝗕𝗟𝗢𝗚] Too many messages, and not enough time? @lostinbrittany.bsky.social, our DevRel is present in over 90 Slacks. Impossible for him to keep up with all the discussions... 📝 Find out how he automated summaries of key conversations: www.clever-cloud.com/blog/enginee...

Automating Slack summaries with n8n, Clever Cloud, and LLMs | Clever Cloud

Find out how you can automate Slack summaries with n8n, Clever Cloud and LLMs to save time and keep better track of key discussions.

clever-cloud.com

its amazing how chatgpt knows everything about subjects I know nothing about, but is wrong like 40% of the time in things im an expert on. not going to think about this any further

Meta illegaly downloaded 80+ terabytes of books from LibGen, Anna's Archive, and Z-library to train their AI models. In 2010, Aaron Swartz downloaded only 70 GBs of articles from JSTOR (0.0875% of Meta). Faced $1 million in fine and 35 years in jail. Took his own life in 2013.

“Torrenting from a corporate laptop doesn’t feel right”: Meta emails unsealedA photo of Aaron Swartz (1986-2013) when he was 19.
Last month, Meta admitted to torrenting a controversial large dataset known as LibGen, which includes tens of millions of pirated books. But details around the torrenting were murky until yesterday, when Meta's unredacted emails were made public for the first time. The new evidence showed that Meta torrented "at least 81.7 terabytes of data across multiple shadow libraries through the site Anna’s Archive, including at least 35.7 terabytes of data from Z-Library and LibGen," the authors' court filing said. And "Meta also previously torrented 80.6 terabytes of data from LibGen."

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