React native - Under the Hood and App Live Updates without App Store Approval

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The document summarizes a React Meet Up presentation about React Native. It discusses how React Native allows developing mobile apps using JavaScript and React by using a native bridge to communicate between the JavaScript core and native platforms. It also presents a solution for live updating mobile apps by leveraging services like CodePush that allow pushing JavaScript changes to apps without requiring app store approvals. The presentation includes a demo of live updates using the RTCRootView component and AppHub service.

Technology

© Copyright 2016, Neudesic. All rights reserved.
React Meet Up #17
https://
React Native: Under the Hood and Live Updates
Suresh Balla – Principal Consultant

© Copyright 2016, Neudesic. All rights reserved. 2
Neudesic and Mobility
ECMA Script 6

© Copyright 2016, Neudesic. All rights reserved. 3
How it works?
JS
JavaScript Core /
v8 engine
Native Bridge
C++/Java

© Copyright 2016, Neudesic. All rights reserved. 4
• Apple AppStore average approval time – 6 days
• Google Playstore average approval time – 1 day
Live Updates?

© Copyright 2016, Neudesic. All rights reserved. 5
3.3.2 Except as set forth in the next paragraph, an Application may not
download or install executable code. Interpreted code may only be used in
an Application if all scripts, code and interpreters are packaged in the
Application and not downloaded. The only exceptions to the foregoing are
scripts and code downloaded and run by Apple's built-in WebKit framework
or JavascriptCore, provided that such scripts and code do not change the
primary purpose of the Application by providing features or functionality that
are inconsistent with the intended and advertised purpose of the Application
as submitted to the App Store
https://developer.apple.com/programs/information/Apple
_Developer_Program_Information_8_12_15.pdf
Solution?

© Copyright 2016, Neudesic. All rights reserved. 6
Demo - RTCRootView

© Copyright 2016, Neudesic. All rights reserved. 7
CI/CD Workflow
GItHub CircleCI AppHub or
CodePush
Run tests,
build app

© Copyright 2016, Neudesic. All rights reserved. 8
AppHub Demo

© Copyright 2016, Neudesic. All rights reserved. 9

© Copyright 2016, Neudesic. All rights reserved.

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In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject. We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup. Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved. The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring. The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise. By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.

Essentials of Automations: The Art of Triggers and Actions in FME

Safe Software

In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation. We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios. Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!

Infrastructure Challenges in Scaling RAG with Custom AI models

Zilliz

Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.

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Artificial Intelligence for XMLDevelopment

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5. © Copyright 2016, Neudesic. All rights reserved. 5 3.3.2 Except as set forth in the next paragraph, an Application may not download or install executable code. Interpreted code may only be used in an Application if all scripts, code and interpreters are packaged in the Application and not downloaded. The only exceptions to the foregoing are scripts and code downloaded and run by Apple's built-in WebKit framework or JavascriptCore, provided that such scripts and code do not change the primary purpose of the Application by providing features or functionality that are inconsistent with the intended and advertised purpose of the Application as submitted to the App Store https://developer.apple.com/programs/information/Apple _Developer_Program_Information_8_12_15.pdf Solution?

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