What problem does it solve? Fuzzers often get stuck when codebases contain anti-fuzzing patterns like checksum verification, time-seeded PRNGs, or complex validation that reject nearly all generated inputs, leaving large portions of code unreachable. ## Core Features & Use Cases - Conditional Compilation Patching: Bypass checksums, hashes, and validation during fuzzing builds using FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION in C/C++ or cfg!(fuzzing) in Rust while preserving production behavior. - Determinism Restoration: Replace non-deterministic global state such as time-based PRNG seeds with fixed seeds so fuzzing runs are reproducible. - False Positive Risk Assessment: Guidance on evaluating whether skipped checks introduce impossible program states, with safe-default patterns to mitigate crashes that cannot occur in production. - Use Case: A fuzzer targeting a message parser never gets past cryptographic signature validation. Apply the conditional bypass pattern to skip signature checks during fuzzing builds, then measure a coverage increase with llvm-cov. ## Quick Start Ask the AI to identify the checksum validation blocking your fuzzer and patch it with a fuzzing-only conditional compilation bypass.