Spend nobody approved
A run set up once and forgotten keeps running and keeps billing. From the outside it looks like ordinary activity, which is exactly why it survives.
Automated runs, watched as closely as your engineers.
Your engineers have started scheduling agents instead of writing most code themselves. Those runs spend money, ship code and repeat without anyone present. Loop Engineering makes each one something you can see, price and judge — so a setup that quietly burns budget is caught in the same week rather than the same quarter.
Loops · last 7 days
Active loops
46
Cost per run
$2.14
Reached a PR
61%
Data78%
Platform64%
Payments41%
Share of runs that produced merged code
What changes in unattended runs.
Today
- Nobody knows how many automated runs exist, or who set them up
- A run on an expensive model tier bills quietly until the invoice arrives
- A run that ships code and one that ships nothing look identical
With Tetriz
- Every run in the org, by team, repo and who started it
- Expensive tiers and runaway runtimes flagged before the bill compounds
- Each pattern tied to whether it produced merged code
From work nobody is watching, to work you can account for.
Four steps, and most orgs cannot complete the first one today.
Get the list
Almost no org can say how many automated runs it has, where they run, or who set them up.
What Tetriz does here
- Every run, wherever it started
Scheduled jobs, repair cycles and multi-step passes, sliced by team, repo and time.
- With a name against it
Who triggered it and whether it is part of the team's setup or somebody's private script.
Loop inventory
Active loops
46
Runs / wk
1,284
No owner
9
See what each one costs
A run left on an expensive model tier is invisible until the invoice arrives, and by then it has been running for months.
What Tetriz does here
- Cost per run, not just total spend
So an expensive run and a frequent one are different problems with different answers.
- Reroute suggested before it compounds
Expensive tiers and unusually long runtimes are surfaced with the cheaper option named.
Cost per loop run
| Loop | Runs | Cost / run |
|---|---|---|
| Nightly test repair | 210 | $0.84 |
| Dependency upgrade | 96 | $1.92 |
| Spec-to-PR draft | 148 | $4.60 |
Judge it on what shipped
A run that executes flawlessly and produces nothing mergeable is the most expensive kind of success.
What Tetriz does here
- Each pattern matched to merged code
The pull request that shipped its changes, per run rather than per session.
- So you can stop the ones that never land
Reliability and usefulness stop being the same measurement.
Loop effectiveness by team
Data78%
Platform64%
Payments41%
Runs reaching a merged PR
Keep the good ones and make them standard
The runs worth having tend to live with whoever built them, which means they disappear when that person moves team.
What Tetriz does here
- Codified rather than personal
A run that is part of the team's setup survives the person who wrote it.
- Published to the teams without one
A pattern that works in one team becomes available to the others without a migration.
Codified loops
Codified
37 of 46
Teams covered
3 of 3
Retired
5
Where the money goes when nobody is in the room.
Unattended work is the one place engineering spend grows without anyone deciding it should.
Reliability mistaken for value
A run can succeed every night for a year and never produce anything that ships. Tying each pattern to merged code is what separates the two.
And it grows with delegation
The more of your delivery your engineers hand to agents, the more of it happens where no human is looking. This is what keeps that share accountable as it rises.
Questions leaders ask about Loop Engineering.
A multi-step agent job that proceeds without a person in each step — a scheduled task, a repair cycle, a spec-to-PR pass.
No. You get the flag, the cost and the cheaper option named. Turning something off stays your decision, with the evidence attached.
Each one is matched to the pull request that shipped its changes — the same attribution the rest of the platform uses, applied per run.
Then the list takes a minute and most of the value is ahead of you. The orgs that measured early are the ones that noticed six becoming sixty without a decision being taken.