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This document discusses how to survive after Rails' time by taking a hands-on approach and thinking globally while acting regionally. It mentions Tukuba and cucumbers.

There Is No Spoon
- Think Global,
Act Regional

Ruby has a lot of standard libraries from Ruby 1.8. I promote them democratically with GitHub today via default and bundled gems. So, I'm working to extract them for Ruby 3.4 continuously and future versions. It's long journey for me. After that, some versions may suddenly happen LoadError at require when running bundle exec or bin/rails, for example matrix or net-smtp. We need to learn what's difference default/bundled gems with standard libraries. In this presentation, I will introduce what's the difficult to extract bundled gems from default gems and the details of the functionality that Ruby's require and bundle exec with default/bundled gems. You can learn how handle your issue about standard libraries.

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Since Ruby's bundled and default gems change every year with each release, some versions may suddenly happen LoadError at require when running bundle exec or bin/rails, for example matrix or net-smtp. In this presentation, I will introduce the details of the functionality that extends Ruby's require to provide guidance to users on what they can do to load them. And I will also show how $LOAD_PATH is build behind Ruby and Rails by Bundler.

How resolve Gem dependencies in your code?

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How resolve Gem dependencies in your code?

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The Future of library dependency manageement of Ruby

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In this insightful webinar, Inflectra explores how artificial intelligence (AI) is transforming software development and testing. Discover how AI-powered tools are revolutionizing every stage of the software development lifecycle (SDLC), from design and prototyping to testing, deployment, and monitoring. Learn about: • The Future of Testing: How AI is shifting testing towards verification, analysis, and higher-level skills, while reducing repetitive tasks. • Test Automation: How AI-powered test case generation, optimization, and self-healing tests are making testing more efficient and effective. • Visual Testing: Explore the emerging capabilities of AI in visual testing and how it's set to revolutionize UI verification. • Inflectra's AI Solutions: See demonstrations of Inflectra's cutting-edge AI tools like the ChatGPT plugin and Azure Open AI platform, designed to streamline your testing process. Whether you're a developer, tester, or QA professional, this webinar will give you valuable insights into how AI is shaping the future of software delivery.

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Neuro-symbolic (NeSy) AI is on the rise. However, simply machine learning on just any symbolic structure is not sufficient to really harvest the gains of NeSy. These will only be gained when the symbolic structures have an actual semantics. I give an operational definition of semantics as “predictable inference”. All of this illustrated with link prediction over knowledge graphs, but the argument is general.

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