Engineers
Don't know how to improve their AI workflows.
ARX
AI Engineering Performance
ARX shows what actually happened. Not just the diff.
Understand how AI agents work in your codebase so engineers can improve and teams can scale safely.
The Problem
AI agents don't just write code. They run tools, pull context, make decisions, and act independently. None of that shows up in a PR.
Don't know how to improve their AI workflows.
Repeat the same mistakes without realizing it.
Sees output, but not capability or risk.
What ARX Does
ARX gives you visibility into your own sessions so you can get better at working with AI.
Not theory. Not storytelling.
ARX is based on what actually happened in the session.
Team View
ARX aggregates patterns across engineers.
No guessing. No vanity metrics.
Privacy
ARX is designed to support engineers, not monitor them.
Engineers see their own data first.
Teams benefit from aggregated insights.
Why Now
You can't improve what you can't observe.
Outcomes
Beyond Raw Metrics
ARX inspects the full session: context, decisions, workflow, and the code itself to surface what raw metrics miss.
Individual tools can already show token usage or lines of code generated.
ARX looks at the entire session, the full context around it, and the code being produced.
Based on those signals, ARX runs deep analysis to help you see blind spots in how you work with AI.
Not just what was used. What happened, why it happened, and where to improve next.
Design Partner Program
Join early teams using ARX to review prompts, decisions, tool usage, and execution risk before it turns into production debt.