The Engineering Capacity Pilot
Prove it on your own backlog.
Start with one repository and a defined set of development-ready work. Your requirements. Your Tech Lead. Your QA process. Cleveri plans, executes and verifies the work, and the pilot ends with a measured view of what happened.
What a pilot includes
Real work, your process, a measured result.
- One repository
A real codebase with a working build and tests.
- Development-ready work
A defined set of backlog items your team already understands.
- Your Tech Lead
Approves each engineering approach before anything is built.
- Your QA process
Decides whether delivered work is accepted, exactly as today.
- Cloud or private
Cleveri Cloud, or private deployment for qualified pilots.
- A defined period
[X] weeks, ending in a measured results report.
How it runs
Five steps from kickoff to results.
- 01Your team
Choose a repository
Pick one repository where delivery matters and the build and tests already run.
- 02Together
Select backlog items
Agree a defined set of development-ready work items with your Tech Lead.
- 03Together
Connect the environment
Connect your work tracker, repository, build and tests, and your AI models.
- 04Cleveri + your engineer
Plan, approve, execute, verify
Cleveri plans each item, your engineer approves, Cleveri executes and the platform verifies.
- 05Together
Review the results
Walk through the measured report with your own team and decide what comes next.
Intent stays human. Execution becomes elastic.
What you get
Judge Cleveri by what lands.
AI usage is a cost. Pull requests are a step. Accepted software is the outcome. Every pilot ends with a results report on the same six measures, from your own backlog.
- 01Pull requests delivered
How much engineering work Cleveri completed
- 02First-pass QA acceptance
How often work arrives ready to accept
- 03Ready-to-PR cycle time
How quickly approved work moves to review
- 04Human supervision per accepted change
How much engineering attention Cleveri requires
- 05Jobs per accepted change
How efficiently capacity becomes accepted software
- 06AI cost per accepted change
The underlying model cost of delivered work
Is it a good fit?
Set the pilot up to give a clear answer.
A strong pilot has
- A repository with a working build and automated tests
- A backlog of clear, development-ready work items
- A Tech Lead with time to review and approve plans
- A QA process that can accept or reject delivered work
Leave for later
- Work that still needs product discovery or design
- Repositories without a reliable build or tests
- Large architectural rewrites as the first test
FAQ