AI testing
Describe what should work. BugPilot builds the tests.
Turn product requirements, user stories, application URLs, API specifications, pull-request changes, and plain language into executable, maintainable tests.
Natural language input
8 test scenarios generated
AI-native testing
Generate, run, analyze, and repair with context.
Autonomous browser execution
API workflows
Visual regression analysis
Root-cause analysis
Self-healing maintenance
Safe self-healing
Your application changes. Your tests adapt.
BugPilot uses semantic meaning, DOM context, accessibility attributes, nearby labels, interaction history, and application state to identify the intended element.
Old selector
button[data-testid="checkout-btn"]Semantic equivalent
button[data-action="checkout"]Repair verified
The test passed after repair. Product behavior remained unchanged.
Inputs and outputs
Start with the context you already have.
BugPilot turns application and development context into durable test assets and actionable engineering evidence.
Inputs
Outputs
Book a working session
Bring an important user journey. Leave with a testing plan.
See how BugPilot can expand your team’s testing capacity without adding test maintenance overhead.
Book a meeting