Quality Engineering and Testing

Overview

Testing is part of the build, not a phase at the end. Automated tests run on every change, and a release that fails them does not ship.

AI features need their own kind of testing. We build evaluation sets and red-team tests so a model’s mistakes are found before a customer finds them.

Who it is for

• Teams whose releases keep breaking things that used to work.
• Products facing a launch, a peak season or an audit.
• Teams shipping AI features that need evidence they are safe.

What you get

• Test strategy and automation for web, mobile and APIs.
• Performance and load testing before launch days.
• Security testing and fixes for what it finds.
• Evaluation and red-teaming for AI features.
• Quality gates in the release pipeline.
• A quality dashboard your team can read.

How it runs

1. Review current tests, releases and the defects that reached users.
2. Agree a test strategy and the quality gates.
3. Automate the most valuable tests first.
4. Add performance, security and AI evaluation.
5. Run with your team, or hand it over.

In practice

• A regression suite that runs in minutes on every pull request.
• A load test that found the bottleneck before month-end payment runs.
• A red-team test that stopped an assistant from revealing internal data.

Technology

• Playwright, Cypress, Selenium and Appium.
• k6 and JMeter for load testing.
• OWASP ZAP and dependency scanning for security.
• Evaluation sets and model-graded checks for AI features.

How we charge

A fixed-fee review, then fixed-scope automation or a monthly quality team.

Questions