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Ship releases without the regressions customers find first

Test automation that people trust starts with the risks that matter, not a coverage target. Agree the acceptance criteria, automate the checks that guard them, and place each check where it catches a problem earliest. Tests that fail only for real reasons are tests the team keeps.

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01 Sound familiar

Sound familiar?

  • A fix in one part of the product breaks something unrelated, and you hear about it from a customer rather than from a failing test. The next release slows down while everyone checks by hand.

  • The test suite fails so often for no real reason that people rerun it until it goes green, then merge without reading the failure.

  • Every release ends with a day of manual clicking through the product, done by the people who should be building the next feature. Even then, nobody is sure what was covered.

Release board

See which check catches which regression

Pick a change that tends to slip through and follow it across the release lanes. Each lane holds one kind of test, placed where it catches its problem earliest and with the least rework.

Pick a change

  1. Unit tests

    Fast checks on business rules run on every commit, so a broken calculation fails before review starts.

    Caught here

  2. Contract tests

    Each API is checked against what its consumers expect, so a breaking change fails the build, not a partner.

    Not reached

  3. Integration

    Services, the database and external systems are tested together in a clean environment on every merge.

    Not reached

  4. Regression suite

    End-to-end tests walk through the journeys customers rely on most, such as sign-up, payment and export.

    Not reached

  5. Release gate

    The acceptance criteria agreed before the release are checked, with performance and recovery tests where the risk calls for them.

    Not reached

Where each change is stopped

  • A discount rule that rounds the wrong way

    Caught at Unit tests

    A unit test covers the rounding rule with edge values, so the mistake fails right after the commit instead of on a customer invoice.

  • A renamed field in an API response

    Caught at Contract tests

    The contract test compares the response with what each consumer expects, so the rename fails the build before anyone integrates against it.

  • A query that slows down under real data volumes

    Caught at Release gate

    A performance test on production-sized data is part of this service's release gate, so the slow query is found and fixed before release.

Talk this through with us →

02 A typical situation

What this usually looks like

A growing product team may have a large end-to-end suite that takes hours to run and fails for reasons nobody can reproduce. Developers rerun it until it passes, and regressions still reach customers after most releases.

We would start by listing the journeys and rules that matter most, quarantine the unreliable tests, and move each check to the earliest lane that can catch its problem. Acceptance criteria are agreed before the next release, so the suite earns back the team's trust. We would also say plainly which tests are not worth keeping.

03 Start

Catch the next regression in the pipeline

Book a call with an engineer. Tell us what broke recently and how it was found, and we will show you where a check would have caught it first and what it would take to add.

What happens next

  1. You pick a time, or send us a message.
  2. A person at Nexstella reads what you shared before we talk.
  3. You leave with a clear next step, even when that step is to wait.

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30 minutes, video call with an engineer · Times show in your time zone

What happens next

  1. You pick a time, or send us a message.
  2. A person at Nexstella reads what you shared before we talk.
  3. You leave with a clear next step, even when that step is to wait.

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Want the full picture? Read Quality engineering and reliability assurance.

Also written for you: DevOps and deployment automation , Reliability and observability .

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