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From Git Repo to Docker Image: Building Your First CI Pipeline in Harness

Connected a GitHub repo, built it, tested it, and pushed a tagged image to DockerHub, in about ten minutes, without writing a line of YAML. Creating your first CI pipeline usually sounds simple until you actually start doing it. You connect your repository, figure out what stages you need, configure the build steps, set up the runtime, add caching, testing, credentials, and then hope the first…

The article describes the process of setting up a Continuous Integration (CI) pipeline using Harness, an AI-powered platform for automating software development workflows.

The author, a developer or platform engineer, wanted to create a CI pipeline for a Java Maven project with unit tests and a Dockerfile. They chose to use the second option - letting Harness scan the repository and generate the pipeline automatically.

Harness offers two ways to create a CI pipeline: writing the pipeline YAML from scratch or letting Harness generate it based on the repository. The author opted for the latter, finding it faster and more efficient.

The process began with selecting a GitHub repository, creating a new OAuth connector for GitHub, and connecting to the repository. Harness then proceeded to clone the default branch, index the files, detect the languages, and analyze the repository.

Next, Harness generated a pipeline YAML based on the project's codebase. The author then clicked "Let's go" to run the first build. The pipeline completed in 2 minutes and 34 seconds, passing all tests.

To take the pipeline further, the author added steps to build and push the Docker image to DockerHub. They created a new Docker connector, set up DockerHub credentials, and configured the image tags.

In just over 10 minutes, the author managed to set up a fully functional CI pipeline that connected a GitHub repository, built the code, ran tests, and pushed a tagged Docker image to DockerHub. This process eliminated the need to write a single line of YAML pipeline configuration, making the task much simpler.

Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.

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