The document discusses various metrics for measuring code quality, including methods and classes being clean and readable, unit test coverage, and cyclomatic complexity. Low code quality can lead to problems with adding features, collaboration, and bugs. Static analysis tools like Sonar can automatically check for code quality issues. Principles like loose coupling, high cohesion, and the single responsibility principle are important for quality. Technical debt metrics quantify the cost of low-quality code.