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Testing Engineering / Test Automation

Test Automation

Manual testing doesn't scale with frequent releases. We build test automation across unit, API and end-to-end layers, wired into your CI pipeline, so every change is checked automatically before it ships.

What Is Test Automation?

Test automation means writing code that tests your software and running it automatically, usually on every pull request and before every release. It replaces repetitive manual checks with fast, consistent tests across units, APIs and user flows, and gives developers feedback within minutes.



This Is For You If...

  • Releases are slow because testing is manual

  • Developers are afraid to change old code

  • You have some tests but they don't run automatically

  • Your test suite is slow or flaky

  • You're preparing for SOC 2 or enterprise customers who ask about your testing process



The Testing Layers We Automate

Layer

Tools we use

Purpose

Unit

Jest, Vitest, pytest, JUnit, xUnit

Check logic in isolation, fast

API and integration

Postman/Newman, pytest, Supertest, REST Assured

Check endpoints, services and databases together

End-to-end

Playwright, Cypress

Check critical user journeys in a real browser

Performance

k6, Locust

Check speed and capacity under load



What We Build

Test Strategy

Which layers to test, what to cover first and what good coverage looks like for your product.

Test Suites

Unit, API and E2E tests written for your codebase. See End-to-End Testing and API Testing.

CI Pipelines

Tests on every pull request, with required checks before merge. See DevOps.

Test Data and Environments

Seed data, fixtures and isolated environments, so tests are repeatable.

Reporting

Coverage reports, failure summaries and trends, so the team sees quality over time.



Common Mistakes to Avoid

Instinct

Why It Doesn't Help

Do This Instead

Chasing 100% coverage

Effort goes into low-value tests

Cover risky and critical code first

Only E2E tests

Slow and brittle at scale

Push most checks down to unit and API tests

Tests that don't run in CI

They get forgotten and go stale

Make tests a required check

Tolerating flaky tests

Real failures get ignored

Fix or quarantine flakes immediately



How It Works

1. Assess

Review current tests, pipeline and bug history

2. Plan

Agree layers, priorities and coverage goals

3. Build

Write tests and test data

4. Automate

Run everything in CI with clear reports

5. Hand over

Train the team to add tests with each feature



Why Codersarts

We build test automation as developers, not just testers, so tests fit your architecture and stay maintainable. We also add security checks to the same pipeline. See DevSecOps.



Turnaround Time

A test automation foundation for one application usually takes 1 to 3 weeks, depending on size and existing tests.



FAQ

What should we automate first?

The flows and code where a bug would cost the most: payments, authentication, data saving and core features.

How much test coverage is enough?

There's no single number. Many teams aim for strong coverage of critical modules rather than a site-wide percentage.

Will tests slow down our releases?

A well-built suite gives feedback in minutes and speeds releases up by reducing manual checks and hotfixes.

Can you add tests to a legacy codebase?

Yes. We start with tests around the riskiest areas, then expand as the code is changed.

Is our project kept confidential?

Yes. Your code, data, and test results stay confidential, and an NDA is available on request.



Fixed-Price Tasks to Start With



Related Services



How Much of Your Testing Is Still Manual?

Automate the checks that slow every release.

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