JEP 515 introduces Ahead-of-Time (AOT) method profiling for the Java programming language, aiming to improve performance by gathering method-level execution data before runtime. This allows the Java Virtual Machine (JVM) to optimize code execution paths based on pre-collected profiling information, potentially leading to faster application performance. The proposal emphasizes reduced overhead during execution, as profiling occurs in advance rather than at runtime, creating opportunities for smarter optimizations. Commenters have expressed interest in analogous solutions in other languages, particularly Python, hinting at a curiosity in how various languages might benefit from similar methodologies.