AI Code Performance Engineer is a developer tool I built to analyze codebases, identify performance bottlenecks, generate optimization candidates, verify correctness, and benchmark whether changes actually improve performance. It combines software performance engineering, automation, testing, CI/CD, and AI-assisted optimization into a single workflow focused on measurable results rather than speculative suggestions.

I'd run the baseline and AI-generated candidate on fixed inputs in the same benchmark job, then compare repeated timings and memory use after the correctness check. How are you filtering out CI runner noise before accepting a speedup?

I haven’t posted much lately because the work got intense.

Two Webflow builds I’ve just finished: MavBio and Jemba9.

One works with biomaterials for medical and research applications. The other builds mission-critical technology for the space industry.

Very different worlds, and genuinely exciting projects to work on.

I’ve also wrapped up a much larger wellness platform that is now being turned into a full case study, while a few new projects are already underway.

A small preview for now. More soon!

wow, the smoothness is mindblowing here