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Jetpack Compose (sometimes mistakenly called Android Compose) is a powerful new UI toolkit for Android that embodies the principle of ‘Code As UI’, offering aa simpler and faster way to build native android UI using a declarative approach. Of all the UI components in Jetpack Compose, buttons have a special place, as these are the cornerstone of our user interface. They allow the user to take actions, submit forms, and navigate around the app smoothly.

Over 4000 engineering teams are building mobile apps and related projects using Bitrise. One trend we’ve observed is the increasing use of monorepos by some organizations. In this blog, I’ll show you an example setup that demonstrates the current best practice for using Bitrise CI with monorepos. You can use this as a reference for your own monorepo to achieve a CI setup that prioritizes efficiency, autonomy of project teams, and effective governance.

The e-commerce landscape is passionately competitive. Today is a prime example as consumers rush to secure the perfect Valentine’s Day gift before it's slim pickings on the chocolates and the sad looking roses! How do you meet the demand and keep those last minute bouquet hunters happy?

Artificial intelligence has become a driving force behind modern innovation, helping businesses across all industries optimize processes and generate income. But how do you monetize AI usage effectively? Whether you’re integrating AI features into an existing plan or launching entirely new AI products, choosing the right approach can unlock steady revenue growth and strengthen competitive advantage.

In today’s data-driven world, the ability to turn raw data into actionable insights is no longer a nice to have—it’s a necessity to power exemplary citizen service. Singapore’s Smart Nation initiative is built on the idea that data, when utilized effectively, can transform public services and improve lives.

As real-time data processing becomes a cornerstone of modern applications, the ability to integrate machine learning model inference with Apache Flink offers developers a powerful tool for on-demand predictions in areas like fraud detection, customer personalization, predictive maintenance, and customer support. Flink enables developers to connect real-time data streams to external machine learning models through remote inference, where models are hosted on dedicated model servers and accessed via APIs.