Coverage metrics, quality, and best practices

Your code coverage mandate is buying you worse tests

An 80% coverage mandate doesn't buy better testing. It buys assertion-free tests, brittle snapshots, and flaky CI. Here's what to set policy on instead.

Code coverage metrics that matter: a policy guide for engineering leaders

Repo-wide coverage targets get gamed. Here's when coverage metrics actually predict quality, and why diff coverage is the only gate worth enforcing.

Code coverage policy that survives contact with reality

Coverage is a proxy, not a goal. Here's when test coverage actually tracks quality, when it doesn't, and how to write a policy your team won't game.

Why 80% coverage mandates produce worse tests

A hard coverage number sounds like a policy. What it actually produces is a new category of test: one that executes code without checking anything.

Code coverage: what it actually tells you (and what it doesn't)

A 90% coverage badge doesn't mean your code is well-tested. Here's what code coverage actually measures, where it misleads you, and how to use it without fooling yourself.

Code resilience through static analysis and code coverage

Code Coverage: As projects grow in complexity, managing source code and guarding against vulnerabilities become even more crucial.

What is dependency coverage?

Code Coverage: One crucial aspect of this management is understanding and evaluating dependency coverage - an often overlooked area of code coverage...

What are code coverage metrics?

Code Coverage: How you quantify, however, makes all the difference - let's explore the different types of coverage metrics.

Why code coverage tools can make or break your application

Code Coverage: Automated testing is a good first step in reducing the chances that your users encounter a bug, however, it's important to understand what you are testing in the first place.

How is code coverage measured?

Code Coverage: Code quality stands as a paramount factor in determining the success and sustainability of any project.

The difference between code coverage and code quality

Code Coverage: While code coverage metrics provide insights into the extent of testing, code quality metrics highlight the maintainability and robustness of the application.

What is the purpose of code coverage?

Code Coverage: Code coverage provides valuable insights into the thoroughness of your testing efforts, enabling you to identify areas of your codebase that might require further attention.