AI-Powered Autonomous QA Testing Platform
An enterprise-grade autonomous testing ecosystem engineered with 5 coordinated AI agents, fail-safe dual-container Docker orchestration, and zero-configuration headless browser execution across Linux and Windows.
Autonomous baseline scan
Routes, forms And APIs
Completed in 18 minutes
Vs manual test scripts
Installation And Execution Guide
How to Use DvantaQA360: Step-by-Step
Follow these clear operational steps to download the ZIP archive, extract the files, configure your environment, and launch the platform with pre-flight fail-safe checks.
Step 1: Download Official ZIP Package
DvantaQA360 is distributed as an all-in-one lightweight ZIP archive containing Docker Compose definitions, the guided installer script (install.ps1 or install.sh), uninstaller, and pre-configured environment templates. Click your operating system button below to initiate immediate ZIP download:
Single-click ZIP downloads • 100% direct file link • No license key or sign-up needed
Step 2: Unzip the Archive
Extract the downloaded ZIP package into your desired project or deployment directory. On Windows, extract to a folder such as C:\DvantaQA360. On Linux, extract to /opt/dvantaqa360 or your home directory.
# PowerShell command:
Expand-Archive -Path .\DvantaQA360-Windows-1.0.1.zip -DestinationPath C:\DvantaQA360 -Force cd C:\DvantaQA360
Step 3: Verify Configuration (config/.env)
DvantaQA360 eliminates configuration complexity. Both the QA Engine and the Web Frontend share a single version-locked environment file located at config/.env. Only 1 variable is needed: DQV_VERSION=1.0.1.
# File: config/.env
DQV_VERSION=1.0.1
FRONTEND_PORT=3500
QA_ENGINE_PORT=7070
HEADLESS=true
Step 4: Run the Guided Installer Command
Run the installer script for your OS. The installer automatically conducts pre-flight checks: it verifies that Docker is running, queries Docker Hub manifests to ensure both images exist prior to pulling, and configures the private bridge network (dvantaqa360-net).
# Run in PowerShell as Administrator:
Set-ExecutionPolicy -Scope Process -ExecutionPolicy Bypass -Force .\install.ps1
Step 5: Access Web Dashboard And Run Autonomous Scans
Once the installation completes, open your browser to the Web Dashboard at http://localhost:3500. The QA Engine communicates autonomously on port 7070 in headless mode. Enter your target URL to start testing:
Clean Removal / Uninstaller Command
Run .\uninstall.ps1 to remove containers and network while leaving all customer Docker data untouched.
Full Case Study
Case Study: What is Inside DvantaQA360
A comprehensive technical overview of why this autonomous testing platform was engineered, the challenges it solves, its underlying multi-container architecture, and real verified benchmark results.
Project Overview And Background
In modern enterprise software engineering, continuous delivery demands high release velocity. However, Quality Assurance (QA) remains one of the most stubborn bottlenecks. Traditional test automation solutions (Selenium, Cypress, Playwright) rely heavily on manually scripted test cases and fragile DOM selectors that break whenever product teams update their frontend UI.
Dvanta Innovation Labs engineered DvantaQA360 as an autonomous Agentic AI platform that replaces hardcoded test maintenance with a coordinated swarm of 5 specialized AI agents. To eliminate customer deployment friction, the entire platform was packaged as a fail-safe, dual-container Docker system with native Windows and Linux installers.
The Problems Faced
- Brittle Selector Maintenance: 60%+ of automation engineering hours spent repairing broken selectors after UI changes.
- Deployment Divergence: Customers across Windows and Linux suffered broken port mappings and mismatched images.
- Partial Deployments: Failed image pulls left customer systems in orphaned and broken container states.
- Manual Triage: Developers wasted hours reproducing defects without synchronized console logs.
The Engineered Solution
- 5 Autonomous AI Agents: Coordinated swarm explores DOM, synthesizes test matrices, and isolates root causes.
- Single Variable Version Lock: Coordinated by a single variable:
DQV_VERSION=1.0.1. - Pre-flight Manifest Inspection: Queries Docker Hub manifests beforehand, aborting safely if any image is missing.
- Isolated Bridge Network: Containers communicate privately via
dvantaqa360-netwhile binding UI cleanly to port 3500.
What is Inside: The 5 Autonomous AI Agents
The specialized intelligence swarm operating behind every test scan:
Website Explorer Agent
Crawls web applications, cataloging all routes, buttons, modal overlays, input forms, and dynamic components without sitemap input.
Test Planner Agent
Synthesizes comprehensive test scenarios covering positive workflows, negative boundaries, validation rules, and edge cases.
Parallel Execution Agent
Drives headless Chromium and WebKit sessions across mobile, tablet, and desktop viewports, validating functional interactions and API responses.
Bug Investigator Agent
On test failure, captures DOM snapshots, network waterfalls, and console error traces to reproduce the failure and isolate root cause.
Report Generator And Severity Classifier
Classifies identified issues into Critical, Major, and Minor tiers, calculates an overall application quality score (0-100%), and exports Jira-ready tickets with reproduction steps.
Technical Architecture Specifications
| Architecture Pattern | Docker Multi-Container Orchestration (QA Engine + Frontend) |
| Frontend UI Service | Interactive Next.js UI exposed on host port 3500 |
| QA Engine Service | Headless engine bound to internal port 7070 (HEADLESS=true) |
| Internal Network | Isolated bridge network dvantaqa360-net |
| Configuration Management | Single lock variable DQV_VERSION=1.0.1 in config/.env |
| Preflight Validation | Automated Docker Hub manifest query ensuring both tags exist before pull initiation |
| Supported OS Platforms | Windows 10/11/Server (Docker Desktop / WSL2), Ubuntu 20.04+, Debian 11+, RHEL 8+ |
Verified Benchmark Outcomes
Benchmark execution conducted across an enterprise e-commerce platform comparing DvantaQA360 against manual regression testing cycles:
Looking for Interactive Architecture And PDP Demo?
Explore live terminal architecture and telemetry logs on the dedicated product detail page.