USING LLMS TO GENERATE FUZZ GENERATORS

Summary from the TLDR AI newsletter

LLMs like Claude can generate effective fuzzers for parsing code, automating a process that traditionally requires significant human effort. While LLMs are typically not precise enough for static analysis, they appear well-suited for creating fuzzers due to the stochastic nature of fuzzing. A hybrid approach that combines LLM-driven static analysis and targeted fuzzing could be promising for identifying and exploiting vulnerabilities in code.