Run regression tests after every sprint
Run regression tests after every sprint with Argus QA: a practical, on-prem approach built for Azerbaijani teams.
Autonomous Regression Testing for Enterprise Web Apps
Argus QA delivers autonomous regression testing for enterprise web applications by leveraging AI computer-use agents. Unlike traditional automation that relies on fragile CSS selectors or fixed coordinates, Argus utilizes versioned YAML objectives. These objectives define roles, assertions, and step or time budgets, allowing the AI to observe screenshots, reason through the interface, and execute actions. This shift from rigid scripts to objective-based testing ensures that comprehensive test suites remain resilient and adapt to UI changes without requiring constant manual updates. As one of the three core engines of the Argus self-hosted platform, the QA engine integrates seamlessly with shared configurations for credentials, cost accounting, and deployment. It is designed to complement existing tools like Playwright, where deterministic scripts handle stable flows while AI agents manage long, complex, or frequently changing multi-role scenarios. By deploying as a self-hosted solution consisting of ten containers and a shared artifact volume, Argus eliminates external SaaS dependencies, ensuring that enterprise data and testing workflows remain secure and private.
Advantages of AI-Driven Regression
Eliminate selector maintenance by using objective-based YAML scenarios instead of fragile coordinates.
Ensure total data privacy with a self-hosted deployment that removes external SaaS dependencies.
Optimize operational spend via a two-tier model execution strategy that escalates to stronger models only when necessary.
Execute complex business logic through multi-role workflows in independent, authenticated browser sessions.
Accelerate triage with precise failure classification, distinguishing product defects from environment or agent issues.
Maintain a single source of truth via deep Qase.io integration for verbatim test case import and result reporting.
Core Autonomous Capabilities
AI Computer-Use Agents
Agents observe screenshots and state their reasoning before taking actions. Route memory distills successful paths into step intents to provide advisory guidance for future runs.
Multi-Role Workflows
Simulate end-to-end business processes where creators, approvers, and suppliers each operate in fresh, independently authenticated browser sessions.
Model-Agnostic Architecture
Switch models via database configuration without redeploying. The system probes provider endpoints to verify vision and coordinate grounding support live.
Deterministic Security
Logins are executed by deterministic scripts rather than agents, with all credentials resolved through a secure, encrypted secret store.
Independent Verification
To prevent bias, assertions are validated by an independent verifier rather than the agent that performed the action.
The Autonomous Testing Workflow
Frequently Asked Questions
Does Argus QA replace existing tools like Playwright?
No, it is designed to complement them. Use deterministic scripts for stable, unchanging flows and AI agents for long, multi-role, or frequently changing scenarios.
How is the cost of AI model usage managed and tracked?
Every model call is metered. Costs are aggregated hierarchically from the individual call level up to the step, scenario, suite, and release levels.
Can the AI automatically file bugs in Jira or Qase.io?
No. To ensure accuracy, the AI flags suspected bugs with a ready-to-file report, but a human must review and file the defect on their own authority.
How does the system prevent data collisions during parallel testing?
Argus utilizes run-scoped test data naming, which allows multiple parallel agents to operate against a shared environment without colliding.
How are model updates handled in the system?
Model selection is managed in the database and read per run. Changing a model takes effect on the next unit of work without requiring any code redeployment.
Ready to automate your regression suite?
Deploy Argus QA as a self-hosted solution and start transforming your YAML objectives into autonomous test runs.
Request a demo