Automated QA Platform

The Maintenance Problem

Every team that invests in test automation eventually hits the same wall: maintaining the tests takes more time than the value they provide. A button moves, a class changes, a component gets renamed,and suddenly 50 tests are failing, not because bugs were found, but because the tests are brittle.

Teams respond by either abandoning automation entirely or dedicating engineers to "test maintenance",which defeats the purpose of automated testing.

The AI Opportunity

Large language models have changed the equation. We can now:

• Generate Tests: Watch user behavior and write test code automatically
• Heal Tests: When a selector fails, try alternatives instead of failing immediately
• Prioritize: Run the tests most likely to find the bugs you actually care about
• Eliminate Flakiness: Detect and quarantine flaky tests automatically

Technical Approach

Test Generation

• Record user sessions (clicks, form inputs, navigation)
• Use LLMs to generate test code from recordings
• Support multiple frameworks (Playwright, Cypress, Selenium)
• Generate meaningful assertions, not just "element exists"

Self-Healing

• When a selector fails, try semantic alternatives (text, aria-label, data-testid)
• Use visual regression as a fallback
• Learn from successful heal attempts
• Roll back changes if healing fails too often

Intelligent Prioritization

• Analyze code changes to determine risk
• Run high-risk tests first
• Parallelize intelligently based on dependencies
• Provide rapid feedback loops (fail fast)

Open Questions

Authentication & State

How do we handle authenticated flows without baking credentials into tests? Can we generate tests that work across different auth implementations?

False Positives

How do we distinguish between a real bug and a test that needs healing? At what point do we say "this test is broken" vs "the application changed"?

Integration

How do we integrate with existing CI/CD pipelines without requiring teams to completely rebuild their testing infrastructure?

Current Status

Early research phase. We're evaluating:

• Different test generation approaches
• Selector healing strategies
• Integration with popular testing frameworks
• Market validation with potential users

This is a hard problem, but the payoff is enormous,automated testing that actually saves time instead of creating maintenance debt.