End-to-End Automated Testing
Comprehensive E2E test suites using Playwright and Cypress. Cross-browser, cross-device testing with visual regression detection and CI integration.
Specialized service
Software Quality Assurance & Testing
Code Huddle provides manual and automated software QA: end-to-end suites in Playwright or Cypress wired into your CI, plus performance, security and accessibility testing. Our QA engineers have tested real-time, subscription and payment flows on products such as GYMYG and ParkingHub.
Automated TestingCI/CDPerformance TestingDevSecOps
Capability map
What we design, build, and improve
Code Huddle's QA engineers embed quality into every stage of software development. We build automated test suites that catch bugs before they reach production, implement CI/CD pipelines for continuous validation, and conduct performance, security, and accessibility audits to ensure your software is production-ready.
Unit & Integration Testing
Fast, reliable unit and integration tests using Vitest and Jest. Component testing with React Testing Library and API integration testing.
CI/CD Pipeline Implementation
Automated build, test, and deploy pipelines using GitHub Actions, CircleCI, or GitLab CI. Every commit is validated before it reaches production.
Performance & Load Testing
Simulate thousands of concurrent users with k6 and Locust. Identify bottlenecks, memory leaks, and infrastructure limits before launch day.
DevSecOps & Security Testing
Integrate security scanning (OWASP ZAP, Snyk, Trivy) into your CI/CD pipeline. Catch vulnerabilities early with automated dependency audits and penetration testing.
Accessibility Audits
WCAG 2.1 AA compliance testing with automated tools (axe-core, Lighthouse) and manual screen reader verification. Essential for enterprise and government projects.
Delivery model
A visible path from uncertainty to production
- 01
Frame the decision
Clarify the user outcome, commercial goal, constraints, inherited systems, and unknowns worth testing first.
- 02
Design the system
Shape the experience, architecture, integrations, release boundary, acceptance criteria, and operating model.
- 03
Ship with evidence
Deliver reviewable increments with testing, demonstrations, production telemetry, documentation, and handover.
Commercial model
Scope and cost follow uncertainty
Defined outcomes can use milestones. Evolving products are usually better served by transparent team capacity. Estimates follow discovery of workflows, integrations, constraints, and acceptance criteria.
Engineering judgment
Tradeoffs stay explicit
Build versus buy, delivery speed, operating cost, security, maintainability, migration, and technical ambition are discussed as product decisions—not hidden implementation details.
Where this fits
Common product situations
- 01Pre-launch QA audit of existing codebase
- 02Setting up automated testing from scratch
- 03Performance testing before major marketing event
- 04Security audit for enterprise procurement
- 05Ongoing QA retainer for product teams
Technology choices
Selected for the system—not the trend
The final stack follows product constraints, team capability, integration boundaries, security, scale, and long-term ownership.
PlaywrightCypressVitestJestReact Testing Libraryk6LocustGitHub ActionsCircleCIOWASP ZAPSnykTrivyLighthouseaxe-corePercy
Evidence related to QA & Testing
Explore product stories with related architecture, workflows, and delivery decisions.
Questions before starting
The details buyers usually need
For most web applications, we recommend Playwright for E2E tests, Vitest for unit/integration tests, and React Testing Library for component tests. For APIs, we use supertest and custom HTTP test scripts. This combination gives excellent coverage with fast execution in CI.
Yes. We start with a test audit to understand the codebase, then prioritize the highest-risk flows for E2E tests. We incrementally add unit and integration tests sprint by sprint without slowing down feature development.
Yes. Automation covers the regression paths that must pass on every release; manual testing covers exploratory testing, new features that are still changing, usability issues and release sign-off. Most engagements combine both, and manual test cases that stay stable are converted into automated tests over time.
Plan your project
Practical questions and scope decisions before you commission a build.
AI Content Moderation: Human Review and Quality ChecksCan AI handle content moderation on its own? Learn how moderation models work, how to set thresholds, when humans step in, and the mistakes to avoid.Testing payment flows: what to check before you launchA payment test is not finished when the provider approves a transaction. Check the full lifecycle: failures, retries, refunds, webhooks, and consistent records before launch.Testing AI-Powered Applications: A QA Engineer’s Practical GuideHow QA can test AI-powered products for accuracy, consistency, uncertainty, end-to-end outcomes, regression coverage, and post-release learning.How to Find Hidden Software Bugs: A QA GuideHidden bugs can slip past routine checks. Learn where to look, how to test beyond the happy path, and how to investigate issues before release.Why Was My App Rejected? Common App Store & Play Store Rejection Reasons and How to Avoid ThemApp rejected by Apple or Google? Learn the most common rejection reasons, real fixes from our projects, and a pre-submission checklist to avoid repeat rejections.API Testing Mistakes Interns and Junior QAs Make (and How to Avoid Them)Lessons from the first few months of testing APIs: the ten most common mistakes interns and junior QA engineers make, why each one hurts, and what to do instead.