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6 min lezen
Bijgewerkt 2026-10-27

How I Actually Write Tests First With GitHub Copilot (Without Lying to Myself)

Test-driven development fails because writing tests is slower than writing code. Copilot flips the math, and this is the workflow where it genuinely works.

Every developer believes in tests the way everyone believes in flossing, and test-first development fails for the same reason: when you are in flow, writing tests feels like stopping to do paperwork. Copilot changed the math for me, not by making tests pleasant but by making them fast enough that the paperwork objection disappeared. This is the workflow where it actually holds up.

The trick is writing the test as a spec and letting Copilot do the boilerplate. Before touching the implementation, I write a failing test with the scenario in the test name and a comment describing the expected behavior in plain language. Copilot fills in the assertions, the mocking, and the setup with surprising competence, because test files are exactly the kind of patterned code it excels at. My job shrinks to reviewing whether the test tests the right thing, which is a judgment call, not typing.

Batch the scenarios, one function at a time. I list the cases before starting, the happy path, the empty input, the boundary, the error, then have Copilot generate them in one pass and review the set together. Reviewing five tests as a set catches what reviewing them one by one misses: the missing case, usually the weird one your codebase has been bitten by before. My pre-flight prompt now includes a comment line listing past production incidents in this module, because the model cannot know that context unless you tell it.

The honest part of test-first with AI is knowing where it misleads. Copilot will happily write a test that mirrors your wrong assumptions, and a green suite built on shared misunderstandings is worse than no suite, because it defends the bug. The antidote is cheap and non-negotiable: before implementing, run the test and watch it fail for the right reason, then deliberately break the expected output in the assertion and confirm the test catches it. Thirty seconds per test that keeps the suite honest.

What this bought me in practice: coverage on the boring paths, input validation and error handling, that I never used to write, because the cost dropped to near zero. What it did not buy me: an excuse to skip thinking about what the code should do, which is where test-first was always supposed to help anyway. The red-green-refactor rhythm survives intact; Copilot just removed the part where writing the red test felt like a tax.

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