Hands-On Auto DevOps with GitLab CI - Analysing 4.6 Code Quality

The video tutorial covers the integration of code quality checks into a GitLab CI pipeline. It explains the use of static analysis tools to maintain code quality and demonstrates setting up a code quality job using Docker containers. The tutorial includes a practical example of running a code quality check on a feature branch and discusses the analysis of results through JSON reports. It concludes with a brief introduction to advanced GitLab features available in paid versions.

Explain the role of static analysis tools in code quality assessment.

What is the purpose of adding a code quality job to the build pipeline?

Describe how Docker is utilized in the code quality job.

What is the significance of the GL code quality report JSON file?

What considerations are made for running the code quality job on feature branches?

Discuss the potential impact of not running the code quality check on the master branch.

How does GitLab determine if the code quality has improved or worsened after a merge request?