Software Quality & Testing
Quality is engineered in from the start rather than added at the end. Our QA practice runs inside Azure DevOps, using Azure Test Plans for test management, Playwright for automation, Azure Load Testing for performance, and GitHub Copilot-assisted authoring for AI-augmented coverage, all integrated into the same pipelines that ship your code.
End-to-end QA anchored in Azure DevOps, including test case management, CI/CD-native automation, cloud-scale load testing, and AI-assisted test generation across every release.
What we deliver
Each capability is a service we ship into production, not a slide.
Functional Testing
End-to-end feature validation against requirements and acceptance criteria.
Playwright Automation
Our preferred cross-browser automation framework, battle-tested across enterprise applications and integrated natively into Azure DevOps pipelines.
Azure Test Plans
Test case management within Azure DevOps for manual, exploratory, and automated execution, with full defect linkage and traceability.
Azure Load Testing
Cloud-scale load and stress testing with Azure Load Testing and JMeter, with CI/CD triggers and Azure Monitor integration built in.
AI-Augmented QA
GitHub Copilot and Azure OpenAI wired into QA workflows to auto-generate test cases, surface coverage gaps, and triage defect patterns.
Security Testing
GitHub Advanced Security (CodeQL, secret scanning) combined with OWASP ZAP and Burp Suite for DAST and penetration testing.
Accessibility Testing
AAccessibility Insights and WCAG 2.1 validation to ensure your application meets enterprise accessibility standards.
API / Contract Testing
Postman and RestAssured used to validate API contracts and integration points across microservices and third-party dependencies.
What We Deliver
- QA strategy & test planning
- Playwright automation framework design & build
- Test case management in Azure Test Plans
- Performance & load testing with Azure Load Testing
- Security testing using GitHub Advanced Security, OWASP ZAP, and Burp Suite
- AI-augmented test generation with GitHub Copilot & Azure OpenAI
Business Outcomes
- Faster release cycles with CI/CD-native quality gates
- Full test traceability and defect linkage in Azure Test Plans
- Cloud-scale load confidence before every release
- Higher coverage with AI-assisted test authoring
Key Strengths
- QA built directly into Azure DevOps pipelines rather than running as a separate process alongside delivery
- Playwright automation that your team can maintain after we hand it over
- AI-augmented test generation to close coverage gaps faster
- Security and accessibility coverage included, not treated as optional extras
The toolkit behind the work
Modern, proven tools, selected for what fits your problem, not for what's trending.
CI / CD & Test Mgmt
Automation
Performance
Security
AI Testing
Accessibility
API
How we engage
Strategy
Create a QA plan calibrated to your release risk profile and structure it in Azure DevOps from day one.
Automate
Playwright automation suites and Azure Test Plans wired into Azure DevOps pipelines for fast, reliable quality signal.
Validate
Functional, load (Azure Load Testing), security (GitHub Advanced Security) and accessibility coverage on every release.
Improve
Use AI-augmented defect triage and coverage gap analysis with GitHub Copilot to continuously reduce escape rates.
Engineering with intent
Azure DevOps is our primary CI/CD platform, and Azure Test Plans is built directly into it, giving you test case management, manual and exploratory execution, and defect linkage in one place without adding a separate tool.
Playwright is our preferred automation framework for web applications. It runs cross-browser, integrates directly into Azure DevOps pipelines, and handles modern SPAs, server-side-rendered pages, and authenticated flows reliably, with far less maintenance overhead than older Selenium-based suites.
For load testing we use Azure Load Testing alongside JMeter to provide cloud-scale simulation with built-in Azure Monitor integration and pipeline triggers, so you receive performance signals on every release rather than only before launch. For security, GitHub Advanced Security (CodeQL, secret scanning, dependency review) is combined with OWASP ZAP and Burp Suite for full-stack coverage. For AI-augmented QA, GitHub Copilot and Azure OpenAI are integrated into our test authoring workflow to auto-generate test cases, highlight coverage gaps, and help triage defect patterns.
Ready to discuss Software Quality & Testing?
Send us a message and we'll help you define the right scope, timeline, and delivery plan.
Contact Usinfo@azistinc.net
Phone
+1 703-862-2922
Offices
US · India