Testing that catches real bugs

Coverage numbers do not catch bugs, good tests do. How we focus testing where it actually pays off.

Engineering

Engineering

Test what breaks

A test that never fails is just decoration.

We aim tests at the risky, real-world paths, the edge cases and integrations where defects actually live, rather than chasing a coverage percentage that proves nothing.

Where we spend the effort

Risk-first

We test the code whose failure would cost the most.

Real scenarios

Cases drawn from how the product is actually used.

Confidence, not vanity

Passing means safe to ship, not just a pretty percentage.

The point

Coverage is a number; confidence is the goal

A green bar can hide the bugs that matter most.

It's easy to chase a coverage percentage and still ship the failure that hurts. High numbers can come from tests that exercise trivial paths while the risky logic goes untouched.

We aim tests where mistakes are costly and likely, the money math, the permission checks, the edge of the input range, so passing tests actually mean the important things work.

Highlights

Our focus

Real paths

We test how the app is actually used.

Edge cases

The unusual inputs where bugs hide.

Fast feedback

Failures show up in minutes, not days.

Deep dive

Test the promises, not the plumbing

A test suite earns its runtime by answering one question: can we ship right now? Suites glued to implementation details answer a different question, 'did anything change?', and change is not a bug. We test observable behavior, so refactors pass and regressions fail.

The distribution matters more than the count. A thin layer of end-to-end flows guards the money paths, integration tests cover the seams where systems meet, and fast unit tests handle the logic, a shape that keeps feedback under ten minutes.

Flaky tests are treated like production bugs, because they are: each intermittent red erodes the habit of believing the suite. Quarantine, fix or delete, a smaller suite everyone trusts beats a big one everyone reruns.

Team for AppsProduct & Engineering

We build software for teams who want their tools to fit the way they actually work — web, mobile, AI and the systems that tie them together. We write here about what we learn shipping it.

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