Systems | Development | Analytics | API | Testing

Expert tips to speed up your iOS builds

Spend less time waiting and more time doing the work you love! One of the defining moments of my software career was learning the motto “if it hurts, do it more.” What the heck? This concept feels totally counterintuitive. But give it a moment’s thought, and you soon realize that as developers we are instructed to lean into the bad parts of our process so that we fix them and make them stop hurting.

The CI Infrastructure Behind Bitrise: Build Without Compromise

As a developer, when you think about CI/CD, you probably focus on build times, test results, and deployment pipelines. The infrastructure powering those builds? It's invisible (unless something goes wrong!). At Bitrise, we've spent 10 years refining infrastructure decisions that most developers never see. In this post, we are pulling back the curtain on the infrastructure choices we've made and why they matter for reliability, consistency, and performance.

Accelerate iOS Builds with Xcode 26 Compilation Caching on Bitrise

Long iOS build times are one of the biggest productivity drains for mobile teams. Developers lose hours waiting for builds to finish while CI pipelines burn resources recompiling code that hasn’t changed. With Xcode 26, Apple introduced Compilation Caching, a major leap forward that reuses compiled outputs instead of rebuilding them from scratch.

Bitrise is now available on Google Cloud Marketplace

Hey there, Google Cloud customers! We've got some exciting news to share with you. You can now purchase Bitrise through Google Cloud Marketplace as a private offering. That's right: the lightning-fast mobile CI/CD infrastructure and powerful automated workflows you love from Bitrise, now with all the convenience of procurement and consolidated billing through Google.

Q&A: How Bitrise helps Apadmi drive loyalty, scale, and mobile success for its clients

As consumer expectations rise, loyalty is becoming a top priority. In fact 67% of brands plan to significantly increase investment in strengthening consumer loyalty over the next year, according to a recent report by Apadmi, Europe’s leading digital product consultancy and longstanding Bitrise customer.

Your guide to DevOps and CI/CD in mobile development

DevOps stands for Development and Operations. The term is a combination of: DevOps originated from the growing need to connect the silos between software development and IT operations. The adoption of agile practices in software development teams enabled developers to release software faster and more reliably. As developers sped up their processes, the Operations side of the organization started to struggle with the impact of agile on deployment, maintenance and stability.

Accelerate Gradle testing on Bitrise: Test Distribution private beta now open

We’re excited to announce the launch of our Gradle Test Distribution private beta on Bitrise. Starting today, Bitrise users can contact us to join the program and dramatically speed up Gradle test execution through scalable, parallel test distribution. This release is a major step forward for Android teams with large test suites and growing complexity. By hosting the Bitrise Build Cache, Test Distribution workers, and CI runners within the same data center fabric, we’re able to offer.

Build faster with Bazel on Bitrise: Remote Build Execution Beta now available

We're excited to announce that Remote Build Execution (RBE) for Bazel is now available in private beta on Bitrise. Starting today, select Bitrise workspaces can accelerate Bazel builds with scalable, parallelized execution on both Linux and macOS stacks. This release is a major step forward for teams using Bazel, especially those managing large, complex codebases that require speed, flexibility, and reliability.

Your guide to fine-tuning Gradle memory allocations

No one starts their work day thinking “Let’s investigate the memory allocations of my Gradle build”, but sometimes life happens (usually at the worst possible time): Every Gradle project faces memory allocation problems eventually, as the codebase grows. So, instead of blindly applying JVM flags from Stack Overflow until it’s resolved, why not take a deeper look?