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Table driven testing has gained popularity among developers due to its ease and scalability. Rather than writing out repetitive test cases, you can put your inputs and expected outputs into one table and have one function loop through them. But although this method seems easy, there are a few best practices to follow to keep your tests clean, readable, and maintainable.

The first important practice is to keep your tables simple. Don't fill them with complicated structures or too many variables—each row should be one clear test case. This makes your test suite easier to read and debug when something goes wrong.

Another best practice is to use descriptive names for your inputs and expected results. Badly labeled tables can make it hard to determine which scenario failed. Clarity here saves debugging time.

It's also a good idea to test both standard cases and edge cases. Developers sometimes only test happy paths, but good testing involves inputs that may break the system too.

Lastly, don't neglect automation. Combining table driven testing with free API testing tools can take efficiency to the next level. Tools like Keploy can automatically generate test cases and mocks from actual API traffic. When combined with table driven structures, this method not only saves time but also provides more thorough test coverage.