Efficio - AI Harness for speed, memory

Could you build this?

No Autonomous performance optimization across compiled C++ and Python codebases requires deep compiler engineering, rigorous benchmarking sandboxes resistant to hardware noise, and semantic equivalence verification.

What it would actually take: A production version requires an isolated execution environment using MicroVMs (e.g., Firecracker) to obtain reproducible hardware performance counter measurements (cache misses, latency, memory allocations). It needs integration with AST parsing frameworks (Clang LibTooling for C++ and the `ast` module for Python) to safely rewrite syntax while preserving ABI and runtime contracts. Finally, it requires specialized systems engineering to build custom property-based test harnesses and formal checkers to prevent regressions that simple unit tests miss.