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Streamlining the pull request process with automation tools

Kenny DuMez
Kenny DuMez
Graphite software engineer

Streamlining the pull request (PR) process in GitHub can significantly enhance the efficiency and reliability of software development projects. By incorporating automation tools, teams can minimize manual oversight and errors, ensure consistent standards, and maintain a swift development cycle. This guide will explore the mechanics of automating the GitHub PR process and explore key tools that can help in optimizing pull requests.

Pull request automation refers to the use of software tools and scripts to manage the steps involved in a PR, such as running tests, enforcing coding standards, labeling, and merging the code. Automation aims to reduce the need for manual intervention, thus speeding up the review process while maintaining or even improving the quality of the code base.

  • Automated testing: Automatically run unit tests, integration tests, and other code checks when a PR is created or updated.
  • Code quality checks: Automated evaluations that analyze the source code to ensure it meets predetermined quality criteria.
  • Auto-merging: Automatically merge approved PRs that pass all defined checks, reducing the time developers spend on repetitive tasks.
  • Notification and communication: Update team members about PR status changes through automated comments or integrated messaging tools.

Several tools and integrations can be used to automate various aspects of the PR process on GitHub:

  • GitHub Actions: Native to GitHub, Actions allow you to create custom workflows to automate your software development processes, including PR handling.
  • CircleCI: A continuous integration service that can be used to automatically test and deploy code changes from GitHub PRs.
  • Travis CI: Another popular CI/CD tool that integrates with GitHub to run tests and other predefined scripts following changes in the PR.
  • Graphite Automations: Automate tedious code review tasks like assigning reviewers, adding labels, and more, when PRs meet certain requirements.

Here’s how you can use GitHub Actions to automate the PR process:

Create a .github/workflows/pr-automation.yml file in your repository to define the workflow:

Terminal
name: PR Automation
on: [pull_request]
jobs:
build:
runs-on: ubuntu-latest
steps:
- uses: actions/checkout@v2
- name: Set up Node.js
uses: actions/setup-node@v2
with:
node-version: '14'
- name: Run tests
run: npm test
- name: Check code quality
run: npm run lint

This workflow triggers on pull requests and performs two main actions: running tests and checking code quality.

Add steps to your workflow to automatically label PRs and comment on them, based on the test results:

Terminal
- name: Label PR
if: success()
uses: actions/labeler@v3
with:
add-labels: 'reviewed, passed'
- name: Comment on PR
if: failure()
uses: some-username/comment-action@v1
with:
message: 'Please check the failing tests.'

To automate merging of PRs that meet all your conditions (like passing all checks and receiving necessary approvals), use the automerge action:

Terminal
- name: Automerge
uses: pascalgn/automerge-action@v0.14.3
env:
GITHUB_TOKEN: ${{ secrets.GITHUB_TOKEN }}
MERGE_LABELS: 'auto-merge, passed'
MERGE_METHOD: 'squash'
MERGE_COMMIT_MESSAGE: 'commit message based on PR title'
MERGE_RETRIES: '6'
MERGE_RETRY_SLEEP: '10000'

To further streamline the PR process, you can consider the following practices:

  • Customize your workflows: Tailor GitHub Actions and other tools to fit the specific needs of your project.
  • Monitor efficiency: Regularly review the effectiveness of your automation settings and make adjustments as necessary.
  • Continue education: Ensure all team members understand how to interact with the automated processes, including how to handle exceptions.

By automating the GitHub PR process, teams can significantly reduce manual errors, ensure consistent quality standards, and accelerate the pace of development. The tools and strategies discussed here provide a foundation for setting up and optimizing your automation workflows.

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