Introduction: Why CI/CD is Critical for Kotlin Projects
Modern Kotlin development — whether it's a backend on Spring Boot, an Android application, or a multiplatform project — requires a fast and reliable delivery cycle. Manual build and testing processes are not only time-consuming but also prone to errors. This is where CI/CD (Continuous Integration / Continuous Deployment) comes to the rescue.
GitHub Actions is a built-in automation system that allows you to run workflows directly in your repository. For Kotlin projects, this is an ideal choice: it integrates easily with Gradle, supports dependency caching, and allows you to deploy applications on any platform.
In this article, we will break down how to set up a full-fledged CI/CD pipeline for a Kotlin project using GitHub Actions: from basic build to automatic deployment.
1. GitHub Actions Basics: Workflow Structure
Each workflow in GitHub Actions is a YAML file located in the .github/workflows/ directory. Let's look at the basic components using a Kotlin project as an example.
1.1. Triggers (on)
A workflow is triggered by specific events: a push to a branch, creating a Pull Request, or on a schedule (cron).
1.2. Jobs and Steps
A Job is a set of steps executed in one virtual environment. Steps can run commands, scripts, or ready-made actions from the marketplace.
1.3. Minimal Workflow Example
Let's create a file .github/workflows/ci.yml for a Kotlin project on Gradle:
name: CI for Kotlin
on: push: branches: [ main, develop ] pull_request: branches: [ main ]
jobs: build: runs-on: ubuntu-latest
steps: - uses: actions/checkout@v4
- name: Set up JDK 17 uses: actions/setup-java@v4 with: java-version: '17' distribution: 'temurin'
- name: Setup Gradle uses: gradle/actions/setup-gradle@v3
- name: Build with Gradle run: ./gradlew build
- name: Run tests run: ./gradlew testThis pipeline will run the build and tests on every push or PR to main/develop.
2. CI Optimization: Caching and Parallel Jobs
Without optimization, each run will download Gradle dependencies from scratch. For Kotlin projects, this can take 2–5 minutes. The solution is caching.
2.1. Caching the Gradle Cache
GitHub Actions allows you to cache the ~/.gradle/caches directory:
- name: Cache Gradle packages uses: actions/cache@v4 with: path: | ~/.gradle/caches ~/.gradle/wrapper key: ${{ runner.os }}-gradle-${{ hashFiles('**/*.gradle*', '**/gradle-wrapper.properties') }} restore-keys: | ${{ runner.os }}-gradle-After the first run, subsequent runs will use the cache — speed increases by 2–3 times.
2.2. Parallel Jobs for Different Tasks
You can split testing, linting, and building into separate jobs that run in parallel:
jobs: lint: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Run detekt run: ./gradlew detekt
test: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Run tests run: ./gradlew test
build: needs: [lint, test] runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - name: Build JAR run: ./gradlew bootJarHere, build will only start after linting and tests have passed successfully.
3. Advanced Scenarios for Kotlin Projects
Let's look at real-world tasks that are often encountered in CI/CD for Kotlin.
3.1. Publishing Artifacts to GitHub Packages
If you are develo