Synthetic Edge-Case Lab
A testing assistant for Python API and data-pipeline developers that studies an OpenAPI spec, Pydantic models, example payloads, or existing pytest tests and generates realistic-but-nasty edge-case datasets. It could produce malformed webhooks, locale-specific names and addresses, duplicate events, delayed records, schema drift, contradictory timestamps, and adversarial CSV rows—then export them directly as pytest fixtures. The core appeal is personal and practical for an AI-curious Python builder: use AI not to write generic code, but to uncover the weird real-world inputs that routinely break otherwise solid systems.











