Deep dive into measuring Flask app health with code coverage: defines coverage, why it matters (robustness, faster bug fixes, fewer regressions), surveys tools (Coverage.py, pytest-cov), and walks through integrating Coverage.py with a simple routes app and pytest, commands to run reports, plus tips for stronger tests (comprehensive cases, mocking dependencies, edge paths), emphasizing coverage as an ongoing practice.