Kindlebit
Product Engineering and QAPublicly listed capability

Run regression in minutes, not days, with tests your team trusts and keeps green.

We build maintainable UI and API automation, integrate it into your pipeline and design for stability, so developers get fast, reliable feedback and releases stop waiting for manual regression.

Review your regression suiteSee the pipeline

Kindlebit publicly lists this capability on its website or a third party profile. Named, approved project evidence is being compiled and will be added when Kindlebit confirms it.

Automation pipeline

  1. Commit
  2. Unit and API tests
  3. UI tests
  4. Parallel execution
  5. Report
  6. Gate

Reference design. Components are options, not a statement of what is deployed at any customer.

Problems this service is built to solve

These are situations we expect buyers to recognise. Each one states why it happens, what it costs and how we would approach it.

Slow regression testing

A full regression takes three testers four days. Releases happen monthly because the regression window is too long for anything faster.

Why it happens
Checks are executed by hand, and the pack has grown without being pruned.
What it costs
Infrequent releases, delayed fixes and testers spending time on repetition.
How we approach it
We automate the stable, high value checks first, run them in parallel in the pipeline, and prune manual regression to the exploratory remainder.
What to measure
Regression duration, release frequency and share of regression automated.

Brittle test scripts

A developer renames a CSS class and forty UI tests fail. The team stops trusting failures and re runs until green.

Why it happens
Selectors are tied to implementation, tests share state and waits are fixed sleeps.
What it costs
False alarms, maintenance overhead and ignored real failures.
How we approach it
We use resilient locators and page objects or component patterns, isolate test data, wait on conditions and track flaky tests with a quarantine policy.
What to measure
Flaky test rate, maintenance hours per sprint and failure signal to noise.

Inadequate integration coverage

The UI tests pass, but a change in a downstream API breaks reporting for one customer type, discovered by the customer.

Why it happens
Tests concentrate on the UI, which is slow, while service interactions are untested.
What it costs
Escaped integration defects and slow feedback.
How we approach it
We rebalance towards the test pyramid with API and contract tests, keep a small set of end to end journeys and run all in CI.
What to measure
API test coverage, contract test coverage and integration defects found in CI.

Late defect discovery

Automation runs nightly on a shared environment. By the time results are reviewed in the morning, three more changes have landed.

Why it happens
Feedback is slow and not tied to a change.
What it costs
Hard to locate the offending change, and fixes lag.
How we approach it
We run fast checks on every pull request, heavier suites on merge, and nightly packs for breadth, with results linked to the commit.
What to measure
Time from commit to feedback, defects caught per stage and mean time to fix.

Solutions we engineer

Concrete capabilities, each with the need it serves, how it integrates, what you receive and the value to expect.

UI test automation

Stable browser tests for key flows with robust locators, visual checks where useful and cross browser runs.

Customer need
Protect critical user journeys.
Integration
Playwright, Cypress or Selenium with your pipeline.
Deliverable
UI suite.
Business value
Fast confidence in the user experience.

API and contract testing

API tests for functions, errors and security basics, and consumer driven contracts.

Customer need
Test services directly and quickly.
Integration
Postman, REST Assured, Pact and your services.
Deliverable
API suite.
Business value
Early, reliable feedback.

Mobile test automation

Appium and platform frameworks on device clouds.

Customer need
Cover native and hybrid apps.
Integration
BrowserStack, Sauce Labs and CI.
Deliverable
Mobile suite.
Business value
Fewer device regressions.

CI/CD integration

Pipelines with staged suites, parallel execution, retries policy and quality gates.

Customer need
Make tests part of the flow.
Integration
GitHub Actions, GitLab CI, Azure DevOps and Jenkins.
Deliverable
Pipeline configuration.
Business value
Automatic enforcement.

Test data and environments

Data factories, isolated environments, service virtualisation and cleanup.

Customer need
Make tests deterministic.
Integration
Databases and APIs.
Deliverable
Data and environment tooling.
Business value
Stability.

Reporting and analytics

Dashboards for pass rate, trends, flaky tests, execution time and coverage.

Customer need
See health at a glance.
Integration
Allure, ReportPortal or your BI.
Deliverable
Reporting dashboards.
Business value
Decisions on evidence.

Framework design and training

Architecture, conventions, examples and coaching for developers and testers.

Customer need
A suite your team can own.
Integration
Your codebase.
Deliverable
Framework and guides.
Business value
Sustainable ownership.

How we solve it

A delivery sequence built around architecture, testing, CI/CD and operational readiness.

Assess current testing

Review existing tests, pipeline, defect history and the application architecture to find the best automation targets.

Set automation strategy

Define the pyramid, selection criteria, tool choice and success measures.

Design the framework

Choose patterns for locators, data, waits, reporting and parallelism, with coding standards.

Build priority suites

Automate critical journeys and API checks first, with code review and stability checks.

Integrate in the pipeline

Run suites on pull request, merge and schedule, with gates and clear failure output.

Stabilise

Track and fix flaky tests, tune speed and agree a policy for quarantine.

Hand over and train

Document, train the team and share ownership of the suite.

Maintain and expand

Maintain tests with the application, add coverage by risk and report metrics each sprint.

Solution in action: Pull request pipeline for a web application

Reference Architecture An illustrative scenario. It describes how we would structure the work, not a delivered customer project.

Starting problem

Regression takes four days, so the product ships once a month.

Existing workflow

Manual regression packs run before each release. Defects found late delay the release.

Improved workflow

Each pull request runs unit and API tests in minutes. Merge triggers parallel UI tests on the critical journeys across two browsers. A nightly run adds broader coverage and visual checks. Failures link to the commit and show screenshots and traces.

A developer opens a pull request.

Systems involved

Source control, CI, test environments, device cloud, reporting.

Data movement

Generated test data per run and a cleanup step.

Human decisions

Developers fix failures. QA reviews flaky test reports and adds coverage.

Automation opportunities

Execution, reporting and gating of promotion.

Exception handling

A flaky test is quarantined with an owner and due date, and still reported.

Resulting user experience

Developers get feedback while the change is fresh and releases no longer wait on regression.

KPIs to evaluate

  • Regression duration
  • Flaky test rate
  • Defects caught before merge
  • Release frequency

What you receive

Concrete deliverables for this service, written so you can check them against the contract.

  • Automation strategy and tool recommendation
  • Test framework with conventions and examples
  • UI, API and mobile suites for priority journeys
  • CI/CD pipeline configuration and quality gates
  • Test data and environment tooling
  • Reporting dashboard and flaky test tracking
  • Documentation and training
  • Maintenance plan

Technology and engineering

Options we would evaluate for this service. Unless a group is marked as publicly listed on kindlebit.com, treat each tool as a proposed implementation option. Naming a tool does not imply a vendor partnership.

UI (proposed implementation options)

  • Playwright
  • Cypress
  • Selenium
  • WebdriverIO

API

  • Postman
  • REST Assured
  • Pact
  • k6 smoke checks

Mobile

  • Appium
  • XCUITest
  • Espresso

CI/CD and reporting

  • GitHub Actions
  • GitLab CI
  • Azure DevOps
  • Jenkins
  • Allure
  • ReportPortal

Languages

  • TypeScript
  • Python
  • Java
  • C#

Relevant Kindlebit work and evidence

We use the strongest evidence available and say which kind it is.

Reference ArchitectureInteractive demo with simulated data

Test pyramid in a pull request pipeline

The quality engineering demonstration simulates a pipeline run with staged suites and a readiness gate, using synthetic results.

Open the demonstration

Business outcomes and success criteria

These are the measures we would agree before work starts. They are criteria for success, not results from past engagements.

Execution time

Time for full regression and for the pull request pack.

Stability

Flaky test rate and false failure rate.

Coverage

Coverage of critical journeys and APIs.

Escaped defects

Regression defects found in production.

Questions buyers ask

Playwright, Cypress or Selenium?

All can work. We choose by your stack, browser needs and team skills. Playwright is a common default for modern web, and Selenium remains suitable in some enterprise settings.

How much should we automate?

Enough to remove repetitive regression on critical flows, not everything. Aim for the checks that are stable, frequent and valuable.

How do you keep tests from becoming flaky?

With resilient locators, isolated data, condition based waits, fast feedback and a policy to quarantine and fix flaky tests.

Can you work with our existing tests?

Yes. We assess them, keep what is sound and refactor or replace what is fragile.

How long until we see value?

Usually within weeks for the first priority suite, with benefits growing as coverage expands.

Who owns the automation code?

You do, under the contract terms. We write for maintainability and train your team.

Related services

Industries where this applies

Review your regression suite and your pipeline.

Share your current tests and release process. We will show what to automate first and what to retire.

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