An automated, agentic exploratory testing tool that performs comprehensive QA testing on web applications, simulating human user interactions through various input methods (mouse, keyboard, TAB navigation, arrow keys, etc.).
Agentic QA Toolkit: skills that make a coding agent do website QA like a senior tester. Standards, site audit and release QA, headless checks, reports with embedded evidence, three setups.
QA Architecture Blueprint — Python/Playwright/Pytest, Docker-first CI Gate Chain, Release-Readiness Governance, Agentic QA Workflow Foundation
AI Agent for Mobile QA. Write plain language scenarios, run them on iOS and Android, get structured step-by-step report with screenshots as evidence.
Adversarial browser personas for agent-directed web application testing, built on Solari.
Process-as-Code for Agentic QA — a sanitized, tool-light reference for governing an AI coding agent across a software-testing workflow.
Supervised AI orchestration for evidence-first QA, reproducible defects, and deterministic release gates.
Agentic QA test-data generation and validation framework for synthetic financial data. Architecture: Request Normalization -> Test Plan -> Generation -> Independent Validation -> Failure Classification -> Bounded Repair -> Audit. Run: Execute instructions.md & skills.md against validation_rules.md & guardrails.md for best results.
Adoption with receipts: an evidence-graded, fully cited review of how to drive AI adoption and agentic QA in software organisations. October 2026.
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