In the last projects, I get used to use K8s CronJob(s) to schedule tasks.

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A small update to Stereo Sid:

1. Fix lack of LICENSE (merge from original Cyberernesto upstream)
2. Fix library.properties and arduino lint pass, to be able to be included inside arduino library manager
3. New professional CHANGELOG file

Note: StereoSID will work only for Arduino UNO R1-R3 and AVR-based chipset. We are evaluating a support to new Arduino WiFi R4

https://github.com/daitangio/sid-arduino-lib

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I am a fan of super tiny stuff written in C, and also a fan of Operating System. FreeRTOS is a super tiny real-time operating system, I was able to run also on a Arduino UNO R3 with only 2Kb of RAM.

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Hi, it was a very pleasant surprise to find out my maze demo code on the Commander X16 Web emulator. As you can image it was done collecting example on a popular site called 10print.org and it is nice because you can run it on possibly all Commodore 8bit computers (from PET to C/128 and to CommanderX16 too!). By the way the emulator is worth a try: for more example take a look to the official GitHub demo repo

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In the last year I did a lot of job interviews for frontend developers. Normally I ask to write a some codes, using some site like https://codesandbox.io or site with limited functionalities like https://www.onlinegdb.com/online_java_compiler
Because I am a Java hard-core sw-architect, my ReactJS questions are rather easy.

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I have one shiny mechanical keyboard I use on my daily job, under Windoooze and Linux bash

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Today I have an hard time using the @Profile directive for enable feature toggle on Spring, so I decided to write a small guide on it.

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On the current project, I had the need to extract the cpu limits from the deployment descriptor, sum them to check resource usage and print a report.

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Generative artificial intelligence (GenAI) is artificial intelligence capable of generating text, images or other data using generative models, often in response to prompts.

Generative AI models learn the patterns and structure of their input training data and then generate new data that has similar characteristics. This similarity is probability-based.

At low level, these systems are based on Transformer deep-learning architecture and are called generative pre-trained transformer  (GPT) first defined in 2018 (for a complete description refer to Wikipedia)

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This week was very hot because Google published Gemma, a smal-size LLM, and also Nvidia has a rush on stock market, with a evaluation around 2000 BILLIONS dollars. Last but not least, Mistral.ai published a service for its more advanced model, which can also run on-prem.

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