pony-pbt-patterns

What problem does it solve?

This collection documents property-based and generative testing patterns to help teams design robust tests, improve coverage, and reduce brittle test suites by reusing proven patterns across projects.

Core Features & Use Cases

• Design and compose valid/invalid/mixed generators to exercise boundary conditions and failure modes.
• Derive generators from the same validation rules and constraints used by validators to avoid drift between tests and production code.
• Build compositional generator hierarchies that reuse smaller validated components for complex data types.
• Employ multi-angle testing strategies that verify results from alternative implementations, round-trips, or invariants to catch subtle bugs.
• Balance edge-case coverage with execution speed by biasing towards small inputs while still sampling expensive extremes.
• Provide example-driven coverage for paths that are hard to reach with purely random data.

Quick Start

Apply these patterns to design robust property-based tests and generative generators in your codebase.