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Testing & QAby SoftwareCrafting

Unit, integration, and end-to-end test suites that give clients confidence to ship by SoftwareCrafting.

No sales calls. Written reply in under 4 working hours.

NDA-Protected
48hr Kick-off
7 Engineers
Founder-led Delivery
Testing & QA Services

Delivery Time

1-4 weeks

Senior deliveryFounder-involved build team
From₹15,000

Service Overview

We build test suites teams trust, which means suites that are fast, deterministic, and concentrated where failure is expensive. A large suite that developers rerun until it passes is worse than a small one they believe, because it trains everyone to ignore red. So we start by measuring what you have: how long it takes, which tests fail intermittently, and what it actually covers versus what matters. Then we fix the flakiness at the root, usually shared state, timing assumptions, and test order dependence, and rebalance towards a shape that works: thorough coverage of business logic, integration tests running against a real database rather than mocks that drift from reality, and a small set of end to end tests covering the journeys that must never break. We wire it into continuous integration with parallelisation and only the affected tests running on a change, so feedback arrives in minutes. We also cover the areas teams skip: accessibility, authorisation, and visual regression.

Technologies we use

JestVitestPlaywrightCypressReact Testing LibraryStorybook

Key Features

  • Unit tests with Jest / Vitest
  • Component testing with React Testing Library
  • E2E browser automation with Playwright
  • Cypress for interactive E2E testing
  • Storybook component library and visual tests
  • API integration testing
  • CI/CD test pipeline integration
  • Coverage reporting and quality gates
  • Test suite audit covering runtime, flakiness rate, and real coverage
  • Flaky test root cause analysis and elimination
  • Integration tests running against a real database rather than mocks
  • End to end coverage of critical journeys with Playwright
  • Test parallelisation and affected test selection in CI
  • Authorisation testing per role, covering forbidden as well as allowed access
  • Accessibility testing integrated into the suite
  • Visual regression testing for design system components

Pricing Snapshot

₹15,000

Starting from ₹15,000 for test suite setup and automation

  • Model: project
  • Timeline: 1-4 weeks
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Step-by-step

Our Delivery Process

We use an agile, transparent process to ensure your project is completed on time and meets exactly your needs.

01

Risk and coverage audit

We review your codebase, production incidents, manual QA process, release cadence, and the workflows that would hurt most if broken.

1-3 days
02

Test strategy and tooling

We choose the right split of unit, integration, API, component, and E2E tests, then define coverage goals and CI quality gates.

2-4 days
03

Automation implementation

We write tests for critical flows, stabilize selectors and fixtures, mock external services, and wire checks into pull requests.

1-3 weeks
04

Release handoff

We document how to run, debug, extend, and maintain tests so your team can keep quality high after our engagement.

2-4 days
Why Us

Why Choose SoftwareCrafting?

  • Fewer production regressions in payment, auth, onboarding, and admin flows
  • Faster pull-request reviews with automated confidence
  • Less manual QA effort before every release
  • Stable E2E suites designed for CI instead of flaky demos
  • Clear coverage around business-critical code
  • A maintainable testing setup your team can extend
  • A red build that actually means something
  • Feedback in minutes rather than tens of minutes
  • Flakiness fixed at the root rather than by rerunning
  • Coverage concentrated where defects would be expensive
  • Authorisation and accessibility covered, not assumed
FAQ

Frequently Asked Questions

Playwright or Cypress - which do you recommend?

Playwright is our default for new E2E suites because it supports multiple browsers well, runs reliably in CI, and has strong TypeScript support. Cypress is still useful for teams that prefer its interactive development runner.

Can you add tests to an existing codebase?

Yes. We start with the highest-risk flows instead of trying to test everything. That usually means login, checkout, onboarding, dashboards, permissions, APIs, and release smoke tests.

How much coverage should we target?

We prefer meaningful risk coverage over vanity numbers. For business-critical code, 70-85% statement coverage can be useful, but the real goal is preventing costly regressions.

Will tests slow down our developers?

A good setup should speed the team up. We keep fast unit checks local, run heavier E2E suites in CI, parallelize where possible, and remove flaky tests quickly.

What coverage percentage should we target?

None in particular. Coverage percentage measures lines executed, not risk covered, and chasing a number produces many tests on trivial code while leaving complex logic undertested. We target coverage of the things that would be expensive to get wrong: money handling, permissions, data integrity, and the journeys your business depends on.

How do you deal with flaky tests?

Measure first, because teams are usually wrong about which tests are flaky. We instrument the suite to record intermittent failures over time, fix the root causes, which are almost always shared state between tests, timing assumptions, or order dependence, and quarantine the remainder so the main suite stays trustworthy while the backlog is worked down.

Should tests use mocks or a real database?

A real database for integration tests. Mocks drift from real behaviour, and the bugs that reach production are frequently in exactly that gap: constraint violations, transaction behaviour, and query semantics that a mock never reproduces. With a containerised database and per test transaction rollback this is fast enough for routine use.

How many end to end tests should we have?

Few, and only for journeys that must never break, such as signup, checkout, and core workflows. End to end tests are slow and the most prone to flakiness, so they are expensive per test. Push detail down into integration and unit tests where they run in milliseconds and fail for one clear reason.
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