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Happy 10th year, JCertif!

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Welcome to Codetown!

Codetown is a social network. It's got blogs, forums, groups, personal pages and more! You might think of Codetown as a funky camper van with lots of compartments for your stuff and a great multimedia system, too! Best of all, Codetown has room for all of your friends.

When you create a profile for yourself you get a personal page automatically. That's where you can be creative and do your own thing. People who want to get to know you will click on your name or picture and…
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Created by Michael Levin Dec 18, 2008 at 6:56pm. Last updated by Michael Levin May 4, 2018.

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InfoQ Reading List

AWS CodeBuild Now Supports Mac Builds

Amazon has recently announced that AWS CodeBuild, its managed build service, now supports building applications on macOS. However, due to Apple's licensing requirements, developers must still reserve a dedicated macOS fleet to utilize this new option.

By Renato Losio

Optimizing Continuous Deployment at Uber: Automating Microservices in Large Monorepos

Uber's microservices architecture, consisting of thousands of services, requires a reliable and efficient system for deploying updates, security patches, and new features. To ensure this process is safe and timely, Uber embraced continuous deployment (CD), automating deployments to production. This has been essential for maintaining code quality and minimizing delays in delivering changes.

By Claudio Masolo

Article: InfoQ AI, ML and Data Engineering Trends Report - September 2024

InfoQ editorial staff and friends of InfoQ are discussing the current trends in the domain of AI, ML and Data Engineering as part of the process of creating our annual trends report.

By Srini Penchikala, Mandy Gu, Namee Oberst, Roland Meertens, Anthony Alford, Daniel Dominguez

Podcast: Engineering Leadership: Balancing Autonomy, Growth, and Culture with Michael Gray

In this podcast Shane Hastie, Lead Editor for Culture & Methods spoke to Michael Gray of ClearBank about engineering culture and leadership.

By Michael Gray

Leveraging the Transformer Architecture for Music Recommendation on YouTube

Google has described an approach to use transformer models, which ignited the current generative AI boom, for music recommendation. This approach, which is currently being applied experimentally on YouTube, aims to build a recommender that can understand sequences of user actions when listening to music to better predict user preferences based on their context.

By Sergio De Simone

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