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lube

For engineering leaders

DeliveryQualityReliabilityCost

Stop guessing how delivery is going.

Read release flow, CI health, operational risk, AI usage, and estimated spend straight from the work itself.

Follow your loop

From Engineering to evidence your team can inspect.

One shared lifecycle, with the stages most relevant to this team in focus. Step through any stage to inspect the full inventory.

01What is moving through delivery?

02Where is the risk?

03What does it cost?

Stage inventory

Engineering

Build and verify the change.

VCS insights

Inspect delivery workflow activity in the connected release workspace.

Available now

Test intelligence

Investigate test outcomes and flakiness evidence across runs.

Available now

API Explorer

Keep API contracts inspectable next to the release that changed them.

Available now

Compute pricing

Compare public cloud compute pricing as planning evidence.

Available now

Coming later reflects product vision, not a delivery commitment.

Delivery health

The four DORA metrics, from your real deploys.

Deploy frequency, lead time, change failure rate, and MTTR fall straight out of the deploy records you already have. No survey to fill in.

Deploy frequency

14/day

Lead time

3.2h

Change failure

6%

MTTR

41min

DORA, from your real deploys

What you can review

Delivery flow and cost, side by side.

Delivery flow

Where a change spends its time.

Cycle time split by stage tells you whether delivery drags in review or in CI. It measures the work, not the people.

cycle timeper stageper repo

pull request · cycle time

18h 40m
  • Coding6h 10m
  • Review wait8h 05m
  • CI42m
  • Merge to deploy3h 43m
Pull request cycle time by stage

Cost & adoption

Find out what your agents actually cost.

Estimated model spend, broken down by tool, model, repo, and session. So the AI bill stops being a mystery line item.

by toolby modelby repo
  • Code assistant$4,120
  • Chat & review$2,480
  • Test generation$1,050
  • Other agents$610
Estimated AI spend by tool

How we treat it

lube measures the work, not the people. Cycle time describes how a change moved. AI spend is an estimate of what a model run cost. Both open onto the record underneath, so you can check them.

Go deeper

Open the records the view rests on.

Connect GitHub, then add the reliability and AI usage records your team wants to review.

Start free

Self-serve workspace registration.