What problem does it solve? Fuzzers often stall when code contains checksums, non-deterministic global state, or complex validation that rejects nearly all generated inputs, leaving large portions of the codebase unreachable and untested. ## Core Features & Use Cases - Conditional Compilation Patterns: Use FUZZING_BUILD_MODE_UNSAFE_FOR_PRODUCTION in C/C++ and cfg!(fuzzing) in Rust to bypass obstacles only during fuzzing builds while preserving production behavior. - Obstacle Identification Workflow: Analyze coverage reports to locate checksum verification, time-seeded PRNGs, and validation gates that block fuzzer progress. - False Positive Risk Management: Apply defensive defaults and partial validation instead of wholesale skipping to avoid crashes that cannot occur in production. - Use Case: A fuzzer targeting a message parser never gets past checksum verification. Patch the check with a conditional compilation guard, rebuild, and confirm coverage expands into the deserialization logic. ## Quick Start Ask the AI to identify what is blocking fuzzer coverage in your target and patch the checksum or validation check using conditional compilation for fuzzing builds.
