Why most Python tests are a waste of time?

This article critiques common issues in Python test suites, such as slow CI pipelines, flaky tests, and high maintenance costs. It argues that the purpose of testing is to enable safe, fast code changes, not just achieve coverage metrics. The author identifies seven key qualities of high-quality tests: rapid, reliable, repeatable, resistant to refactoring, readable, resistant to unrelated changes, and rigorous. It emphasizes writing better tests rather than more tests, and hints at patterns to achieve valuable test suites. The content is directly relevant to software testing, Python development, and IT best practices.