Development

Code + Unit Tests

Test case design

QA test cases

Manual QA

Exploratory testing

E2E Automation

User journeys tested

Performance Testing

Traffic + load validation

Release Gate

Full validation before production

Testing isn't a phase. It's how we build.

Our developers write tests as they code. Our QA engineers design test cases, run manual validations and maintain the automation process that catches everything else, long before it reaches your users.

The Problem

What Happens When Testing Is an Afterthought

Bugs reach production

Manual testing catches what it can. But regressions slip through, hotfixes pile up, and your team spends more time firefighting than building.

Releases slow down

Without automated validation, every deployment becomes a risk. Teams delay releases, stack up changes, and increase the blast radius of every push.

Confidence erodes

When no one trusts the release process, shipping becomes stressful. Developers hesitate, stakeholders lose patience, and velocity stalls.

Our Approach

Quality Engineered In — Not Tested After

Quality at Collatzinc isn't a handoff between development and QA. It's a shared discipline that runs through the entire engineering workflow — with developers and QA engineers each owning their part.

Our developers own their unit tests

Every developer writes and maintains unit tests alongside the features they build. Testing isn't something that happens after development — it's part of development. A feature isn't considered complete until its tests pass.

Our QA engineers design structured test cases

Before and during feature development, QA engineers define test cases around expected behaviour, business logic, and edge cases. This isn't ad hoc - it's deliberate, documented, and tied to acceptance criteria. Test cases are designed to cover both the happy path and the scenarios most teams overlook.

Manual testing happens where it matters

Not everything can or should be automated. Our QA engineers run manual testing cycles — exploratory testing, usability validation, and edge case investigation that require human judgement. What they find feeds directly back into the automated suite, so the same issue is never missed twice.

Automation handles the rest

Regression testing, smoke tests, performance checks, and release gates run automatically on every commit, every merge, and every deployment. No manual intervention, no missed steps.

The result is a layered quality system where developers own unit-level quality, QA engineers own test strategy and manual validation, and automation handles repetitive checks at scale. Nothing slips through the gaps.

Release Stability

99.9%

Across client deployments

Testing Layers

4

Unit · Manual · E2E · Performance

Validation

Automated + Manual

Developers and QA engineers, working in parallel

What We Deliver

Quality Engineering and Software Testing Services

Code Linting and Static Analysis

Automated code quality checks integrated into CI/CD pipelines.

Every line of code passes through automated linting and static analysis before it moves forward. Developers run linting locally while writing code and the same rules run again in the CI/CD pipeline. Non compliant code never reaches a merge request. This process detects syntax errors, code style violations and potential bugs before testing begins.

Tools: ESLint, Prettier.

Developer-Owned Unit and Component Testing

Unit and component tests written and maintained by developers.

Developers write and maintain unit tests alongside the features they build. Functions modules and UI components are validated in isolation so defects surface early in the development cycle. A feature is complete only when its tests pass.

Tools: Jest, Vitest, React Testing Library, JUnit.

Test Case Design and Management (QA-Led)

Structured test cases based on business logic & acceptance criteria.

QA engineers design test cases around expected behaviour, business logic edge cases and acceptance criteria. Test cases are created during development not after release. This approach ensures strong coverage and provides clear documentation of what has been validated.

Manual Testing and Exploratory QA

Human driven testing for usability validation and edge case discovery.

Not every scenario should be automated. QA engineers run manual testing cycles for usability validation exploratory testing and edge case discovery that requires human judgement. Insights from manual testing feed directly into the automated suite so the same issue is not missed again.

AI-Generated Test Cases and Test Scripts

AI assisted test generation across the testing lifecycle.

AI accelerates test coverage by suggesting test cases based on feature requirements, business logic and edge case patterns. QA engineers review, refine and approve each case before it enters the suite. AI also generates unit and end to end test scripts that engineers validate and integrate into the automated pipeline.

End-to-End Testing

Full user journey validation across browsers, devices and environments.

We simulate real user journeys across the application from login to checkout and from form submission to dashboard rendering. Workflows are validated across browsers, devices and environments to ensure consistent behaviour for every user.

Tools: Playwright, Appium.

Performance and Load Testing

Application performance validation under real and peak traffic conditions.

Applications are stress tested under realistic and peak traffic conditions to identify bottlenecks before users encounter them. Testing includes load simulation response time benchmarking and throughput analysis.

Tools: JMeter, custom load scripts.

Automated Smoke Testing and Build Validation

Automated deployment checks that confirm application stability.

Every deployment triggers automated smoke tests that confirm the application is functional before it reaches staging or production. Failed builds are detected immediately so broken releases never move forward.

Regression Testing

Automated regression suites that protect existing functionality.

Automated regression suites run with every code change to ensure new features do not break existing functionality. The test suite grows with the product which improves reliability with every release.

Release Validation and Reliability Assurance

Final validation before production release.

Before any release goes live we run a full validation cycle across functionality performance and security. This release gate confirms production readiness and allows teams to ship with confidence.

See It in Action

This is what our automated end-to-end testing looks like in practice: a live run from an active client project.

Technology Stack

Testing frameworks integrated into CI/CD pipelines for continuous, automated validation at every stage.

Linting and Static Analysis

ESLint
Prettier

Unit and Component

Jest
Vitest
React Testing Library
JUnit

AI-Assisted Testing

AI-generated test cases and test scripts, validated by QA engineers before integration.

End-to-End

Playwright
Appium

Performance and Verification

JMeter
Automated smoke testing
Build validation pipelines

CI/CD Integration

Testing frameworks integrated into automated CI/CD pipelines.
Tests run on every commit, merge request and deployment.

Why Embedded Quality Engineering Works

Defects cost less
A bug caught in a developer's unit test costs a fraction of one caught in production. Embedded quality engineering shifts the cost curve left.
Releases get faster
When developers test as they build and QA validates in parallel rather than sequentially, releases move faster with less risk.
Products improve with every sprint
Growing test case libraries and regression coverage mean your application gets more stable over time, not less.
Your team builds instead of firefights
When developers own unit quality and QA owns the broader test strategy, everyone focuses on moving the product forward instead of chasing bugs.