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lube

For engineering leaders

DeliveryQualityReliabilityCost

Leadership signals grounded in real evidence.

Understand release flow, CI health, operational risk, AI usage, and estimated spend using inspectable evidence.

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 supported inventory.

01What is moving through delivery?

02Where is risk visible?

03What evidence supports the view?

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 supported API contracts inspectable alongside release evidence.

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.

No survey and no leaderboard. Deploy frequency, lead time, change failure rate, and MTTR fall out of the deploy records you already have.

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 shows whether delivery drags in review or in CI, without ranking a single engineer.

cycle timeno leaderboardper stage

pull request · cycle time

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

Cost & adoption

Estimated AI spend, broken down.

See where estimated model spend concentrates by tool. It is an estimate for review, not a causal ROI claim.

estimatedby toolfor review
  • 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 gives you inspectable evidence, not an invented productivity score. VCS activity describes workflow, and AI spend is estimated, not a causal ROI claim.

Go deeper

Follow the evidence your view rests on.

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

Start free

Self-serve workspace registration.