Autonomous AI Quality Engineering
Eliminate test flakiness with multimodal vision models. Our platform automatically identifies UI elements, executes complex flows, and self-heals broken locators in real-time for web and mobile apps.
# 1. Initialize AI test runner autotest init --project "web-app-v2"
--engine "playwright-vision"
--concurrency 10
--self-heal true
Test suite ready in 1.2s
Endpoint: https://api.autotest.ai/v1/run
Autonomous Testing Infrastructure
Production-grade testing platform featuring multimodal AI agents, distributed runner clusters, and self-healing locator engines.
AI Vision Agent
Multimodal vision models identify interactive DOM elements in real-time, executing clicks and inputs with human-like precision.
Mobile Test Runner
Orchestrate automated test suites on Android and iOS devices within isolated Docker environments for consistent performance.
Distributed Queue
Handle massive concurrent test executions using Celery and Redis, ensuring zero-block API performance for all users.
AUTOTEST Protocol Active
Ready for high-concurrency test execution, self-healing locators, and real-time telemetry.
Test Execution Pipeline
A deterministic, high-concurrency architecture designed to eliminate test flakiness through multimodal vision and distributed runner clusters.
Define microservices, orchestrator gateways, and worker node clusters for high-concurrency test execution.
Core Modules
- Monorepo structure
- API gateway design
- Worker node scaling
Implement Playwright vision models for element detection and self-healing locators for robust automation.
Core Modules
- Vision model integration
- Self-healing logic
- DOM target mapping
Deploy containerized Appium/Maestro environments to handle Android and iOS test sessions at scale.
Core Modules
- Dockerized device farm
- Appium session logic
- Mobile test runner
Configure Celery and Redis queues to manage long-running test suites without blocking API throughput.
Core Modules
- Celery task routing
- Redis queue health
- Execution logs sync
Deploy your test cluster
Start building your autonomous testing infrastructure with our production-ready blueprint.
A new standard for autonomous quality engineering.
AUTOTEST replaces brittle manual scripts and flaky test runs with an autonomous, vision-native platform built for high-velocity CI/CD pipelines.
Multimodal vision models identify interactive elements naturally, bypassing brittle DOM selectors.
Containerized worker nodes handle concurrent test execution across web and mobile platforms.
Automated fallback mechanisms detect UI shifts and update test paths without human input.
| Testing Dimension | AUTOTESTPRO | Legacy Tools | Manual QA |
|---|---|---|---|
Locator Reliability | Self-Healing AI vision agents adapt to UI changes in real-time, eliminating brittle selector failures. | Brittle Hard-coded XPaths and CSS selectors break instantly upon minor frontend refactors. | Manual Requires constant manual intervention to update selectors after every deployment. |
Execution Speed | Concurrent Distributed worker nodes execute hundreds of test scenarios in parallel with auto-scaling. | Sequential Linear execution queues create massive bottlenecks during high-volume test suites. | Latent High latency due to single-threaded execution and lack of resource optimization. |
Visual Validation | Vision-Native GPT-4o vision models interpret UI states, confirming visual correctness and layout. | DOM-Only Limited to checking element existence, missing visual regressions and layout bugs. | null No visual verification capabilities; relies entirely on basic text-based assertions. |
Maintenance Overhead | Autonomous Self-healing locators and AI-driven logs reduce maintenance by over 90 percent. | High-Touch Engineers spend hours daily debugging flaky tests and updating broken selectors. | Manual Full-time QA effort required to keep test suites functional and up-to-date. |
Ready to deploy autonomous testing?
Start your pipeline with self-healing locators and distributed runners for your web and mobile apps.
Autonomous Testing at Enterprise Scale
AUTOTEST delivers high-velocity validation through multimodal vision models, distributed runner clusters, and self-healing locators for zero-flakiness deployments.
Assertions Executed
Automated test steps processed across global test clusters.
Maintenance Saved
Reduction in selector updates via self-healing AI locators.
Vision Latency
Multimodal LLM inference time for element identification.
Runner Uptime
Enterprise-grade containerized worker node availability.
128 concurrent worker nodes scaling across cloud regions
Dynamic locator fallback for flaky DOM element changes
Automated Appium sessions for native Android/iOS builds
Accelerate your release velocity with autonomous testing.
Connect your repository, spin up worker nodes, and run end-to-end tests in minutes. Eliminate flakiness with our AI-powered engine.
Instant Setup
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AI Self-Healing
Zero flaky tests
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Flexible scaling