React native - React(ive) Way To Build Native Mobile Apps

Jun 30, 2016Download as PPTX, PDF1 like758 views

React Native is an open source framework released by Facebook in 2015 that allows building native mobile apps using React. It uses JavaScript to render components and runs these components on both iOS and Android platforms. The architecture runs JavaScript code on a virtual machine and uses an asynchronous bridge to communicate with native components, allowing truly native UI and performance. It uses CSS flexbox for layout and styling components within JavaScript rather than globally. This provides benefits like deterministic resolution, no dead code, and leveraging React's proven virtual DOM. Getting started requires Node.js, watchman, and the React Native CLI to generate projects that can be run from Xcode or Android Studio.

React(ive) Way To Build Native Mobile Apps

Some Background on React Native
• Open Sourced by Facebook in March 2015
• Initially was available on iOS only, Later launched on
android
• Over 30+ Stars and 600+ contributors on github
• Currently the fastest growing mobile app platform
(even more popular than swift)
• Native approach results into much powerful
performance than hybrid framework like ionic
• Supports android >4.1 and iOS >7
• Companies are already using it in production

React Native Architecture
React-Native architecture is like running an app inside an
app

React Native Architecture
ates an asynchronous bridge between javascript interpreter runni

React Native Architecture
React Native also creates worker thread if CPU intensive
work like layout, image decoding etc is required.

React Native Architecture
Layout and Styling
• React Native uses css inside javascript for styling
And internet reacted like this……..

React Native Architecture
Layout and Styling
There are several issues with CSS
• Global Namespace
• Dead Code
• Non-deterministic Resolution
Thats why CSS in Javascript
• All styles are local variables in javascript
• No dead code
• Deterministic Resolution because of local
scope

React Native Architecture
Layout and Styling
React uses flexbox for layout
Calm Down

React Native Architecture
css-layout
Reimplementation of CSS layout using pure JavaScript
https://github.com/facebook/css-layout
• Implementation of Flexbox into pure javascript
• Transpiled version available in Java, c# and C
• For react native, It provides the required layout
parameter like Height, Width to native platform
using the async bridge

Benefits of Architecture
• Truly native performance
• Threads can take benefits of multi core CPU
• Uses the react’s battle proven virtual DOM but instead of
updating browser DOM it updates native component if
change is detected.
• Abstracts away the layout from native to CSS Flexbox
Layout
• Super fast turn around time
• If are familiar with react then you can leverage that to
make mobile apps

To Get Started
You will Need
• OS X if you are developing for iOS
• Node 4.0 (or) greater
• watchman and flow tool from facebook
Quick Start Guide
• “npm install -g react-native-cli”
• “react-native init MyBrandNewApp” to start new app
• Open the Xcode project in Xcode and run from there for
iOS
• “react-native run-android” for running android version

Cautions
• React Native is cutting edge technology and There’s
nothing similar to like this in market. So it might break
for some edge cases.
• There might not be all native modules available but
eco system is growing and its growing super fast.
• The same code might not work across both android
and iOS. Some tweaking might be required because
of native implementation

Go build your next dream app with React
Native and make world a better place

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TestMigrationsInPy: A Dataset of Test Migrations from Unittest to Pytest (MSR...Andre Hora

Unittest and pytest are the most popular testing frameworks in Python. Overall, pytest provides some advantages, including simpler assertion, reuse of fixtures, and interoperability. Due to such benefits, multiple projects in the Python ecosystem have migrated from unittest to pytest. To facilitate the migration, pytest can also run unittest tests, thus, the migration can happen gradually over time. However, the migration can be timeconsuming and take a long time to conclude. In this context, projects would benefit from automated solutions to support the migration process. In this paper, we propose TestMigrationsInPy, a dataset of test migrations from unittest to pytest. TestMigrationsInPy contains 923 real-world migrations performed by developers. Future research proposing novel solutions to migrate frameworks in Python can rely on TestMigrationsInPy as a ground truth. Moreover, as TestMigrationsInPy includes information about the migration type (e.g., changes in assertions or fixtures), our dataset enables novel solutions to be verified effectively, for instance, from simpler assertion migrations to more complex fixture migrations. TestMigrationsInPy is publicly available at: https://github.com/altinoalvesjunior/TestMigrationsInPy.

Who Watches the Watchmen (SciFiDevCon 2025)Allon Mureinik

Tests, especially unit tests, are the developers’ superheroes. They allow us to mess around with our code and keep us safe. We often trust them with the safety of our codebase, but how do we know that we should? How do we know that this trust is well-deserved? Enter mutation testing – by intentionally injecting harmful mutations into our code and seeing if they are caught by the tests, we can evaluate the quality of the safety net they provide. By watching the watchmen, we can make sure our tests really protect us, and we aren’t just green-washing our IDEs to a false sense of security. Talk from SciFiDevCon 2025 https://www.scifidevcon.com/courses/2025-scifidevcon/contents/680efa43ae4f5

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If we were building a GenAI stack today, we'd start with one question: Can your retrieval system handle multi-hop logic? Trick question, b/c most can’t. They treat retrieval as nearest-neighbor search. Today, we discussed scaling #GraphRAG at AWS DevOps Day, and the takeaway is clear: VectorRAG is naive, lacks domain awareness, and can’t handle full dataset retrieval. GraphRAG builds a knowledge graph from source documents, allowing for a deeper understanding of the data + higher accuracy.

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How Valletta helped healthcare SaaS to transform QA and compliance to grow wi...Egor Kaleynik

This case study explores how we partnered with a mid-sized U.S. healthcare SaaS provider to help them scale from a successful pilot phase to supporting over 10,000 users—while meeting strict HIPAA compliance requirements. Faced with slow, manual testing cycles, frequent regression bugs, and looming audit risks, their growth was at risk. Their existing QA processes couldn’t keep up with the complexity of real-time biometric data handling, and earlier automation attempts had failed due to unreliable tools and fragmented workflows. We stepped in to deliver a full QA and DevOps transformation. Our team replaced their fragile legacy tests with Testim’s self-healing automation, integrated Postman and OWASP ZAP into Jenkins pipelines for continuous API and security validation, and leveraged AWS Device Farm for real-device, region-specific compliance testing. Custom deployment scripts gave them control over rollouts without relying on heavy CI/CD infrastructure. The result? Test cycle times were reduced from 3 days to just 8 hours, regression bugs dropped by 40%, and they passed their first HIPAA audit without issue—unlocking faster contract signings and enabling them to expand confidently. More than just a technical upgrade, this project embedded compliance into every phase of development, proving that SaaS providers in regulated industries can scale fast and stay secure.

Exceptional Behaviors: How Frequently Are They Tested? (AST 2025)Andre Hora

Exceptions allow developers to handle error cases expected to occur infrequently. Ideally, good test suites should test both normal and exceptional behaviors to catch more bugs and avoid regressions. While current research analyzes exceptions that propagate to tests, it does not explore other exceptions that do not reach the tests. In this paper, we provide an empirical study to explore how frequently exceptional behaviors are tested in real-world systems. We consider both exceptions that propagate to tests and the ones that do not reach the tests. For this purpose, we run an instrumented version of test suites, monitor their execution, and collect information about the exceptions raised at runtime. We analyze the test suites of 25 Python systems, covering 5,372 executed methods, 17.9M calls, and 1.4M raised exceptions. We find that 21.4% of the executed methods do raise exceptions at runtime. In methods that raise exceptions, on the median, 1 in 10 calls exercise exceptional behaviors. Close to 80% of the methods that raise exceptions do so infrequently, but about 20% raise exceptions more frequently. Finally, we provide implications for researchers and practitioners. We suggest developing novel tools to support exercising exceptional behaviors and refactoring expensive try/except blocks. We also call attention to the fact that exception-raising behaviors are not necessarily “abnormal” or rare.

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Mastering Fluent Bit: Ultimate Guide to Integrating Telemetry Pipelines with ...Eric D. Schabell

It's time you stopped letting your telemetry data pressure your budgets and get in the way of solving issues with agility! No more I say! Take back control of your telemetry data as we guide you through the open source project Fluent Bit. Learn how to manage your telemetry data from source to destination using the pipeline phases covering collection, parsing, aggregation, transformation, and forwarding from any source to any destination. Buckle up for a fun ride as you learn by exploring how telemetry pipelines work, how to set up your first pipeline, and exploring several common use cases that Fluent Bit helps solve. All this backed by a self-paced, hands-on workshop that attendees can pursue at home after this session (https://o11y-workshops.gitlab.io/workshop-fluentbit).

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