Management Agent

The Management Agent gives you one clear view of who is producing what across both your developers and your AI coding agents. It includes visualizations that show human contribution alongside AI contribution, so you can actually see the split instead of guessing at it. On top of that, it summarizes velocity and surfaces insights into how your teams, and the developers inside those teams, are working.

It tracks the productivity of your developers and agents using data from the tickets they work on and general summaries of what shipped. It turns that into visualizations and insights into how your teams are performing, down to the individual developer level. The goal is to answer what your team actually got done, not just how many commits or pull requests they made.

We measure productivity using Estimated Developer Minutes (EDM), a concept inspired by Yegor Denisov-Blanch's research at Stanford. EDM asks one simple question: how long would the average developer take to write this code from scratch? A one-line config change might be two minutes, while a well-structured API endpoint with validation and tests might be forty-five. This captures the value of the work produced rather than the volume, which is why it stays meaningful even as AI capabilities change.

Traditional engineering analytics tools were built for human teams first. They mostly count things like tickets, commits, and cycle time, which break down once agents are doing a large share of the work. The Management Agent is built for teams running both humans and agents, and it measures real output through EDM rather than raw activity, so the picture stays honest no matter who or what wrote the code.