🚀 How to Automate Android Builds with GitHub CI/CD and Gradle
🔧💡 Automating Android builds using GitHub CI/CD (Continuous Integration and Continuous Delivery) is a powerful way to ensure consistency, speed, and quality in your development process. With just a few configuration files, you can trigger builds, run validations, and publish artifacts automatically on every code change.
To achieve this, GitHub provides a system based on three core components:
In this article, you'll learn how to configure a CI pipeline using these tools to build your Android app using Gradle — automatically and reliably.
🧩 Understanding Workflows, Actions, and Runners
✅ Workflow
A workflow is a YAML file that defines a series of automated steps that run when specific events happen in your GitHub repository — such as a code push, a pull request, or even a scheduled timer.
Workflows are saved inside your project under:
.github/workflows/
Each workflow can contain multiple jobs, and each job is made of steps that define what to do.
Example trigger:
on:
push:
branches: [ "main" ]
This tells GitHub to run the workflow whenever someone pushes to the main branch.
⚙️ Action
An action is an individual task that can be reused across multiple workflows. Actions are the core building blocks of automation. They can do things like:
You can use:
Example of using an action:
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- name: Checkout repository
uses: actions/checkout@v4
🏃 Runner
A runner is the server where your workflows actually execute. GitHub provides hosted runners with popular environments like Ubuntu, Windows, and macOS, or you can set up self-hosted runners for more control.
Specify the runner using runs-on:
runs-on: ubuntu-latest
Each job in a workflow runs in a clean environment on its own runner, which ensures isolated, repeatable builds.
📦 Prerequisites
Before getting started, make sure you have:
🛠️ Creating the Build Workflow
Now let’s create a workflow that builds your Android app on every push or pull request.
Create a file named .github/workflows/android-build.yml and paste the following configuration:
name: Android Build
on:
push:
branches: [ "main" ]
pull_request:
branches: [ "main" ]
jobs:
build:
name: Build Debug APK
runs-on: ubuntu-latest
steps:
- name: 📥 Checkout repository
uses: actions/checkout@v4
- name: ☕ Set up JDK 17
uses: actions/setup-java@v4
with:
distribution: 'temurin'
java-version: 17
- name: 🗂️ Cache Gradle files
uses: actions/cache@v4
with:
path: |
~/.gradle/caches
~/.gradle/wrapper
key: gradle-${{ runner.os }}-${{ hashFiles('**/*.gradle*', '**/gradle-wrapper.properties') }}
restore-keys: |
gradle-${{ runner.os }}-
- name: 🔓 Make Gradle executable
run: chmod +x gradlew
- name: 🛠️ Build Debug APK
run: ./gradlew assembleDebug
- name: 📦 Upload APK
uses: actions/upload-artifact@v4
with:
name: debug-apk
path: app/build/outputs/apk/debug/app-debug.apk
💡 Useful Tips
✅ Conclusion
Automating Android builds with GitHub CI/CD and Gradle helps make your development process faster, safer, and more consistent. You gain the ability to detect issues earlier, save time on manual tasks, and ensure that your builds are always reproducible.
#Android #AndroidDev #Github
FrontEnd Software Engineer | JavaScript, TypeScript, ReactJS & Next.js Specialist | Accessibility a11y | MBA in FrontEnd Development & Software Architecture | iFood
1wAwesome guide! Automating Android builds with GitHub Actions and Gradle is a game-changer—clean, repeatable, and perfect for speeding up delivery.
DevOps Engineer | DevSecOps | GitOps | Cloud | Terraform | Ansible | Puppet | CI/CD | AWS | Kubernetes | Docker | Shell
1wCool breakdown! Leveraging Gradle wrapper for the builds is a smart move, making the pipelines able to fit any project. One tip I can give, since I wrote tons of workflows: you can replace the "actions/cache" usage, opting for "gradle/actions/setup-gradle" instead. The latter gives you lots of benefits in using the wrapper, including Gradle and dependency caching, detailed reporting cache usage and configuration, dependency graph reports for Dependabot, and automatic capture of build scan links, all with minimal configuration!
Data Engineer | AWS | Azure | Databricks | Data Lake | Spark | SQL | Python | Qlik Sense | Power BI
1wVery informative!
Senior Business Analyst | Agile & Waterfall | Data Analysis & Visualization | BPM | Requirements | ITIL | Jira | Communication | Problem Solving
1wVery informative! Thanks for sharing Pedro Borba ! 🚀💯