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256 Lines or Less: Test Case Minimization

Quality: 9/10 Relevance: 9/10

Summary

The post presents a compact, FRNG-based approach to test-case minimization in Zig, showing how to generate bounded random inputs, run simulations, and binary-search the minimal entropy needed to reproduce a failure. It includes code examples and a practical workflow for shrinking failing inputs and reproducing bugs.

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