adversarial-tester

To find unknown failure modes, you can generate up to five targeted tests that analyze implementation diffs and simulate adversarial runtime conditions like boundary cases. This exposes weaknesses and edge cases before deployment.

Adversarial testing for code robustness is the process of simulating runtime attack vectors, such as race conditions and invalid inputs, to proactively uncover potential failures in new features before they reach production.

You can generate tests for edge cases by analyzing implementation diffs to identify potential error paths and boundary conditions. The tool then writes focused tests specifically designed to expose those targeted weaknesses.

Yes, you need the Opus model to run adversarial tests. It requires advanced reasoning capabilities to accurately analyze implementation diffs and identify complex failure modes like race conditions and invalid input scenarios.

Up to five targeted tests are generated to uncover runtime attack vectors. These focused tests are specifically written to expose unknown weaknesses, edge cases, and failure modes in your code implementations.