<p data-start="88" data-end="354">Many teams celebrate reaching 80% or 90% code coverage&mdash;but does that number really reflect the quality of your tests?Code coverage measures how much of your codebase is executed during tests, but interpreting it correctly is where real value lies. High coverage doesn&rsquo;t always mean effective testing. You could cover every line of code yet miss edge cases, logic flaws, or integration issues. Instead of chasing numbers, focus on <em data-start="538" data-end="554">coverage depth: branch coverage, condition coverage, and MC/DC (Modified Condition/Decision Coverage) reveal whether critical decision paths are actually tested. Tools like Keploy make it easier to go beyond surface-level metrics by automatically generating tests and measuring real user flow coverage, not just execution counts. This helps ensure your tests don&rsquo;t just run code&mdash;they validate it meaningfully and align closely with production behavior.