Tokenmaxxing tells you the tool is busy. Outcomemaxxing tells you you're winning. See coding time, pushed vs. landed, in engineering hours.
Usage-based pricing, no seat fees. $100 in free usage to start.
Your team's pushed vs. landed coding time, by engineer, team, and agent. Live on your Status dashboard.
M | 108h | 441h | 24% | 11.0 | 68 | 18 |
S | 212h | 386h | 55% | 9.7 | 52 | 17 |
J | 214h | 328h | 65% | 8.2 | 45 | 14 |
A | 223h | 279h | 80% | 7.0 | 39 | 12 |
N | 168h | 236h | 71% | 5.9 | 31 | 11 |
T | 121h | 191h | 63% | 4.8 | 27 | 9 |
Every commit, attributed to the engineer or agent behind it.
A stable benchmark for how much AI is amplifying each engineer.
Access rides your GitHub permissions. Nothing to provision.
Tokens tell you the tool is working. The teams pulling ahead measure what actually ships.
A real number, worth tracking. But it measures an input, not the outcome you wanted.
The engineering hours your team turned into merged code. The number you can grow.
Coding time across Macroscope customers, and the leverage is concentrating.
Coding Time per developer per active day
About 1.5x more per developer-day since January.
Your strongest engineers, at a steady ~55% landed share.
Volume is up, but less of it lands. That is the opportunity.
AI amplifies the engineers who turn generated code into shipped code. Measure it, and back them.
Source: Macroscope customer data, January to June 2026. Full methodology in Beyond Tokenmaxxing.
One stable unit: roughly what a productive engineer gets done in a week.
The raw output your engineers and agents generate.
The work that passed review and shipped. The number that counts.
It is an estimate, not a stopwatch. A three-hour bug that turns out to be a one-line fix might read as ~30 minutes. Coding time is directional output across your org, not a timesheet. We would rather say so.
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Outcomemaxxing means optimizing for the result you actually want, shipped engineering work, instead of an input like token usage. Tokens are worth tracking, but they measure the tool working hard. Outcomemaxxing measures what your team produced, in engineering hours, so you can grow the number that matters.
Coding time is the estimated human-equivalent time a code change represents, measured in engineering hours. It is a stable yardstick: you already know what a full week of a productive engineer buys you. As models and agents improve, the benchmark stays the same, so you can see exactly how much leverage AI is adding to each engineer.
Pushed coding time is everything authored and pushed to git in a period. Landed coding time is the portion that merged to your default branch. Generating code is nearly effortless now, so the teams pulling ahead focus on landed: the work that passed review and judgment and actually shipped.
No, and we would rather say so up front. It is an estimate, not a stopwatch. Someone might spend three hours on a bug that turns out to be a one-line fix, which Macroscope might estimate as 30 minutes of engineering effort. Coding time is a directional measure of output across your org, not a timesheet for any one change.
Macroscope analyzes every commit across your engineering org, estimates its coding time in engineering hours, and attributes it to the engineers and agents responsible. You get pushed coding time, landed coding time, and landed share, rolled up by org, team, engineer, and agent. These metrics are available to all customers with Status enabled.
Pricing is usage-based with no seat fees. Seats stopped being a fair proxy once agents generate most of the code, so you pay for what your team uses. You start with $100 in free usage and 1,000 free agent credits every month.
