Capabilities/Agentic Programming

Quality Assurance

Testing that keeps pace with AI-accelerated delivery.

When agents write code faster, mistakes propagate faster. QA becomes more important, not less. Agent-generated test suites, human-defined coverage standards.

How we approach quality

Our approach combines agent-generated test suites with human-defined coverage standards. AI handles the volume — generating tests, running regression, flagging visual changes. Engineers validate the judgment calls: what matters, what's acceptable, what needs human review.

QA is integrated into the delivery workflow from day one, not bolted on at the end. Every project gets a testing approach designed for its specific risk profile, not a generic checklist.

Manual Testing Automated Testing Performance Testing Security Testing Compatibility Testing CI/CD Integration
Talk to us about QA

Testing coverage

Testing that runs with delivery, not after it.

Manual, automated, performance, security, and compatibility testing integrated into the delivery workflow.

Manual Testing

Exploratory and scripted testing for UX flows and edge cases. Human judgment on interactions that automation can't assess.

Automated Testing

Agent-generated and maintained test suites. Regression, unit, and integration tests that run on every commit.

Performance Testing

Load testing, stress testing, and performance profiling. Benchmarks under real-world conditions.

Security Testing

Vulnerability scanning, penetration testing, and security review. Identifying risks before they reach production.

Compatibility Testing

Cross-device, cross-browser, and cross-OS validation. Ensuring consistent behavior across the fragmentation matrix.

Measurable outcomes

What the work improves in concrete terms.

  • Enhanced product quality

    Detailed reports showing software quality improvements over time.

  • Reduced bugs & issues

    Statistics on the decrease in user-reported problems after QA interventions.

  • Performance benchmarks

    Before-and-after performance metrics demonstrating optimization results.

  • Security improvements

    Summaries of security vulnerabilities identified and resolved.

  • User satisfaction

    Feedback-driven improvements that reduce support volume over time.

How we work

Our QA process.

1

Initial Consultation

Understanding your goals, challenges, and the scope of the project.

2

Test Planning

Crafting a customized QA strategy that aligns with the project goals, including defining key performance indicators and success metrics.

3

Execution

Implementing the test plan through manual and automated tests, performance assessments, security checks, and compatibility testing across devices and platforms.

4

Feedback & Iteration

Detailed reporting to the development team followed by iterative testing to refine and improve the product based on findings.

5

Final Reporting

Delivering a QA report that summarizes tests conducted, issues identified, and the overall software quality assessment.

Ready to talk about your next build?

Book a free 30-minute call with one of our specialists.

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