: Reaching the final few percentages often requires testing trivial code (like basic getters/setters) that provides little actual value.
While 100% sounds ideal, many experts view it as a myth or an unnecessary burden for several reasons: 100 Code
: Every statement, branch, and function in the codebase has been triggered at least once during testing. : Reaching the final few percentages often requires
: Curated lists of snippets, such as " 100+ Python Code Snippets " or " 100 Pandas Tricks ". : High coverage makes it easier to pinpoint
: High coverage makes it easier to pinpoint and fix bugs because the responsible code is already under the "lens" of a test. The Debate: Perfection vs. Pragmatism
: 100% coverage does not guarantee that code is bug-free; it only means the code was run , not that it was correct for every edge case.
: A popular social challenge where developers commit to coding for at least one hour every day for 100 consecutive days to build a habit and improve skills.