ROOTRACE · Mission Control

ROOTRACE — Find the slowdown. Race the fixes. Prove the winner.

Recorded replay — not live execution. You are about to watch a recorded replay of a finished investigation. It is not a live experiment: nothing executes while you watch.

The problem

Modern apps have bottlenecks that are hard to diagnose. AI suggestions alone cannot prove that a fix improves performance, preserves correctness, or addresses the actual problem.

How do we transform AI-generated performance hypotheses into safe, measurable, evidence-backed engineering decisions?

What ROOTRACE does

ROOTRACE maps AI-generated hypotheses to pre-audited optimization mechanisms, tests them in controlled experiments in isolated environments, verifies output correctness, and selects a winner using predefined statistical rules.

DetectA slow workload, measured before any change.
InvestigateHypotheses mapped to audited optimizations.
RaceBaseline and candidates, timed in isolation.
VerifySame output? Statistically real? Big enough?
ResolveA supported winner — or an honest “Inconclusive”.

Replay source:OFFLINE EMULATIONOffline emulation of the full Nemotron -> Nebius workflow