Software quality, engineered.

A QA tester verifies that software works as intended before it reaches users. The work includes functional testing of user journeys, exploratory testing to find defects scripts miss, regression testing to catch what fixes break, responsive testing across devices, and reporting defects with reproduction steps and evidence. Cypher QA provides this as an independent service — a QA tester for hire who works across web applications, APIs, and databases.

A software test engineer designs and executes testing strategies for software products — combining manual testing judgment with automated test suites, API and database validation, and CI/CD quality gates. Unlike a tester who only executes scripts, a test engineer builds the testing infrastructure itself. Cypher QA is an independent software test engineer for hire, demonstrated publicly by the Nexus Quality Engineering Platform and CypherPilot.

QA automation testing replaces repetitive manual checks with repeatable automated test suites. Cypher QA builds Playwright automation for UI journeys, pytest suites for API and database layers, and wires them into CI/CD pipelines so regressions surface on every change — with screenshots, video, and traces attached to failures for fast diagnosis.

Cypher QA works as an independent specialist: you get senior-level QA testing and software test engineering without the hiring overhead, and the deliverables are yours to keep — reproducible findings, maintainable automation, and documentation your team can build on after the engagement ends. Everything is backed by publicly inspectable open-source work.

Cypher QA is an independent software quality engineering service. It tests web applications, builds test automation, validates APIs and databases, wires quality gates into CI/CD pipelines, and applies AI-assisted workflows to speed up coverage and failure triage. The goal is simple: find defects earlier and give teams a clear, evidence-backed picture of release readiness.

Functional testing, exploratory and release testing, UI and responsive testing, API testing, database validation, end-to-end automation, and CI/CD-integrated regression. Work is delivered as reproducible findings with severity classification and evidence, or as maintainable automation your team owns.

Yes. Manual regression suites are converted into maintainable automated suites — typically Playwright for UI journeys and pytest for API and database layers — organized with the Page Object Model and integrated into CI so they run on every change. The Nexus Quality Engineering Platform demonstrates this approach end to end.

Yes. Playwright is the primary UI automation tool, demonstrated publicly by the Nexus Quality Engineering Platform: page objects, configurable browser selection (Chromium, Firefox, WebKit), and failure artifacts including screenshots, video, traces, and logs attached to Allure reports.

Yes. API testing covers REST endpoints directly — status codes, response bodies, JSON Schema validation, authentication flows, and negative paths — without depending on the UI. CypherPilot additionally generates ready-to-run pytest API suites from OpenAPI specifications.

Yes. AI features need different verification strategies: structured output contracts validated against typed schemas, provider fallback and retry behavior, prompt versioning, and regression approaches suited to non-deterministic systems. These practices are implemented in CypherPilot, an open-source AI quality engineering platform built by Cypher QA.

CypherPilot is an open-source, AI-powered quality engineering platform. It analyzes product requirements into structured test cases with boundary and edge cases, generates pytest API test suites from OpenAPI specifications, and triages CI/CD failures into root causes with suggested fixes. It is built with FastAPI, React, PostgreSQL, and a provider-agnostic AI layer supporting OpenRouter and Ollama.

Nexus is an open-source QA automation framework that validates applications at three layers — UI, API, and database. It combines Playwright UI automation, schema-validated API clients, SQL assertions over PostgreSQL or SQLite, Dockerized orchestration, GitHub Actions pipelines, and Allure reporting with full failure artifacts.

A focused assessment covers agreed high-risk areas across functional, UI, and responsive behavior. You receive severity-classified findings with reproduction steps and screenshot evidence, an area-by-area status summary, observations needing further data, and an explicit release recommendation. The published sample assessment shows the exact format.

Four steps: scope (agree target, environments, risks, and exit criteria), test (exploratory and scripted passes, plus automation where it pays off), report (reproducible, evidence-backed findings), and verify (retest fixes, run regression checks, and issue a release recommendation).