Edge Case Detection
Identify and document edge cases
Edge Case Detection
Identify and document edge cases before they become production issues
Why Edge Cases Matter for AI
AI builders excel at implementing happy path scenarios, but they need explicit guidance for edge cases. Xpec's persona-driven approach helps identify these scenarios before development, resulting in more robust AI-generated code.
Types of Edge Cases
Input Edge Cases
Boundary conditions like empty inputs, maximum length fields, special characters, and invalid formats.
State Edge Cases
Unusual application states like empty data, offline conditions, expired sessions, and memory limits.
User Behavior Edge Cases
Unexpected interactions like rapid clicking, browser back button usage, and multiple tabs.
System Edge Cases
External failures like API timeouts, database issues, payment failures, and rate limiting.
Discovery Methods
Use persona interviews with "what-if" scenarios, explore workflow interruptions, and systematically review categories like authentication, data validation, network conditions, and accessibility requirements.
Documentation for AI
AI-Friendly Edge Case Structure
Document each edge case with clear scenario description, expected behavior, error handling approach, and specific testing conditions. This helps AI builders implement robust error handling and validation.