Systems | Development | Analytics | API | Testing

When working with data, applications sometimes need to process elements in a specific order, as opposed to the order in which data arrives. That’s where priority queues come in. Unlike regular queues, which follow a first in, first out (FIFO) principle, a priority queue processes elements based on their priority. Think of it as a VIP line at an exclusive event – the highest-priority guests always jump the queue, regardless of when they arrive.

Every iOS developer dreams of faster builds, but getting there isn't always straightforward. The reality is, mobile development is a complex process. There are many factors beyond your control—like legal considerations, device compatibility, and app store approvals—that can cause delays and slow things down. The good news is there is one way to speed up your builds without having to cut corners or sacrifice quality: Introducing the Apple M4 Pro Mac Mini on Bitrise.

When speaking with platform teams who are responsible for setting up their organizations’ API platforms, we often hear: "We really want to offload the infra side of this. We don’t want our engineers spinning up their own locally hosted infrastructure or asking other infrastructure teams to do this.

If you've ever found yourself tangled up in the complexities of setting up CI/CD pipelines, you're familiar with the challenge of mapping code events with build triggers. At times, you may wish to initiate a few checks, while at other times, you prefer to execute several checks at once. It can be slow and, at times, frustrating to ensure that only those CI checks are triggered that are relevant to the code change. A better, more scalable approach? Target-based triggering.

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.

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.

What it means to be a fan is changing. Whether the fandom focuses on a sports team, a streaming drama series, or a musical artist, fans no longer want to be passive consumers. Instead, they’re looking to feel as though they are a part of the action through channels such as live chat, realtime stats, and behind the scenes insights. But there’s a tension in delivering those fan engagement experiences. Without the right strategy, technology costs can quickly make them economically unviable.

APIs power complex and modern applications and in doing so they’ve also become a challenge to observe, monitor, and analyze. Even the apps we rely on daily consists of numerous services, each glued together by dedicated APIs that interact with one another in intricate ways. In today’s market, you have to make sure that API complexity doesn’t hurt the visibility you need to possess into your product.

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.