This interactive session gives participants an introduction to GitHub Code Quality: GitHub’s dedicated product for identifying and remediating reliability and maintainability issues within code repositories.
Delivered as a blend of presentations and guided demo walkthroughs, the training covers how to enable GitHub Code Quality at scale, how the “github-code-quality[bot]” surfaces findings on pull requests and turns each PR into an opportunity to improve code quality, and how Copilot Autofix accelerates remediation of existing code issues.
Topics
Code Quality overview — introduction to Code Quality fundamentals
Enablement & Configuration — how to turn on Code Quality and configure related features
Standard findings & ratings — review the distinct finding views on code quality
Pull request workflow — code quality control right in the PR flow
Measure & operate — measure and operationalize Code Quality
Positioning & next steps — Code Quality vs. Code Security, and next steps in your environment
Customer benefits
The offering will help customers:
Reduce manual triage burden as the “github-code-quality[bot]” automatically surfaces reliability and maintainability findings in PRs.
Accelerate remediation with Copilot Autofix, which generates AI-powered remediation suggestions directly in the PR workflow or for existing code findings without requiring a separate Copilot license.
Gain visibility into organization-wide and repository-level code quality, enabling data-driven decisions about where to focus on engineering investment.
Learning objectives
After completing this training, learners will be able to:
Interpret code quality ratings, severities, and rules.
Use PR-native “github-code-quality[bot]” findings.
A newsletter for developers covering techniques, technical guides, and the latest product innovations coming from GitHub.
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