GitHub delivery evidence
Build and verify the change with supported GitHub context.
Understand release flow, CI health, operational risk, AI usage, and estimated spend using inspectable evidence.
One shared lifecycle, with the stages most relevant to this team in focus. Step through any stage to inspect the supported inventory.
What is moving through delivery?
Where is risk visible?
What evidence supports the view?
Build and verify the change.
Build and verify the change with supported GitHub context.
Inspect delivery workflow activity in the connected release workspace.
Investigate test outcomes and flakiness evidence across runs.
Keep supported API contracts inspectable alongside release evidence.
Compare public cloud compute pricing as planning evidence.
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
Cycle time split by stage shows whether delivery drags in review or in CI, without ranking a single engineer.
pull request · cycle time
18h 40mSee where estimated model spend concentrates by tool. It is an estimate for review, not a causal ROI claim.
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.
Self-serve workspace registration.