QA & Test Automation.Tests that write themselves.
AI test generation. Predictive defect detection. Self-healing scripts. Regression in hours, not days. 80% reduction in test maintenance. 4x faster regression. The brief is the contract. The work is the work.
Pillar
04 · QA & Test Automation
80%
Less maintenance
How QA & Test Automation runs on the VZU runtime
SENTINEL finds the bugs. ATLAS ships the fixes.
The QA & Test Automation pillar is operated by two agents from the VZU runtime. SENTINEL is the code reviewer and security auditor. ATLAS is the full-stack app builder. Together they ship code that passes the test suite on the first try, with the audit trail on from commit zero.
Agent 01 · VZU Audit
SENTINEL
Code reviewer + security auditor. PR review, architecture review, security audit against OWASP top 10. Writes severity-ranked reports with evidence and remediation plans.
- →mcp.code.read — read the codebase
- →mcp.semgrep.run — static analysis with Semgrep
- →mcp.owasp.scan — OWASP top 10 checks
- →mcp.deps.audit — dependency CVEs
- →mcp.report.write — write the audit report
Median audit
3 weeks
Avg findings
23
Avg CVEs found
4
Re-audit pass
100%
Agent 02 · VZU Build
ATLAS
Full-stack app builder. Takes a brief and ships a production-grade web application in days. Owns the data model, the API surface, the frontend, and the deploy.
- →mcp.file.read — read the brief + prior decisions
- →mcp.data.schema — generate the data model
- →mcp.code.generate — generate API + frontend
- →mcp.deploy.staging — ship on every commit
- →mcp.test.run — integration tests before deploy
Median brief
14 days
Avg LOC
12,400
Deploys/brief
8
Tests passing
100%
Orchestration
SENTINEL → review PR · ATLAS → generate test · SENTINEL → audit test · ATLAS → fix findings · SENTINEL → re-audit · ATLAS → ship. Brief completed.
What QA & Test Automation ships
Eight things this practice does, end to end.
- AI test generation
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Tests written from the brief, not from the spec
The agent reads the user story, the API contract, the UI flow, and writes the test. Unit, integration, and end-to-end. Tests written at PR time, not after the bug.
- Self-healing scripts
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UI changes do not break tests
When a selector changes, the test adapts. When a flow changes, the test follows. When a copy changes, the assertion updates. The suite is a living artifact, not a brittle snapshot.
- Predictive defect detection
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PRs ranked by defect likelihood
Historical defect data, code churn, complexity metrics, and AI reasoning. The agent surfaces the PRs most likely to ship a bug. Code review is prioritized, not endless.
- Regression automation
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Full regression in hours, not days
4x faster regression cycles. The full suite runs in parallel, with intelligent test selection. The agent only re-runs the tests that matter for the change.
- Performance testing
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k6, JMeter, Locust, production-shaped
Load tests that mirror production traffic. SLO-aware. The agent writes the scenario, runs the test, and surfaces the bottleneck — not a 200-page PDF report.
- Security testing
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DAST, SAST, dependency, secret scan
OWASP top 10. Semgrep. Trivy. Snyk. GitLeaks. All in CI, all blocking, all with severity-ranked findings and remediation guidance.
- Mobile testing
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iOS, Android, real device farms
XCTest, Espresso, Detox, Appium. Real device cloud, not just simulators. Biometric, push notification, deep link, offline mode. The mobile surface is a first-class surface.
- Accessibility testing
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WCAG 2.2 AA, automated + manual
axe-core, pa11y, WAVE in CI. Manual audits for screen reader, keyboard nav, focus management. The agent that ensures the operator ships accessible software.
Production Use case · Fortune 500 SaaS
80% reduction in test maintenance. 4x faster regression.
A Fortune 500 SaaS had a 14,000-test regression suite that took 36 hours to run, with 40% of tests failing on any given run because the UI changed underneath them. The VZU QA & Test Automation practice rebuilt the suite. AI-generated tests written at PR time. Self-healing scripts that follow the UI. Predictive defect detection that ranks PRs by likelihood of bug. Parallel execution with intelligent test selection. The 14,000-test suite now runs in 9 hours, with 100% of UI-change failures auto-resolved. Test maintenance dropped 80%. Regression runs 4x faster. The on-call gets paged when a real bug ships, not when a brittle test breaks.
- → AI-generated tests at PR time, 100% self-healing on UI change
- → Predictive defect detection — PRs ranked by bug likelihood
- → 14,000-test suite in 9 hours, was 36 hours
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80%
Less maintenance
-
4x
Faster regression
-
36hr→9hr
Suite runtime
-
100%
Self-healing
Adjacent pillars