Meaning
Testing unusual or extreme scenarios that might not be obvious during development.
Definition
AI-generated code may handle edge cases unexpectedly, making thorough edge case testing critical. AI typically optimizes for the happy path based on common patterns in training data. Edge cases like null inputs, extremely large datasets, concurrent operations, or malformed data might not be handled correctly without explicit testing.
Example
Testing an AI-generated search function with edge cases: empty search strings, special characters, extremely long queries, Unicode characters, SQL injection attempts, searches while previous searches are pending, searches with thousands of results, and searches returning zero results. Each edge case might reveal unhandled scenarios.
