Elastic Engineering Capacity
Add engineering capacity. Keep engineering control.
Cleveri turns development-ready work into review-ready pull requests. Every Engineering Job is planned, approved by your engineers, executed by Cleveri and verified by the platform before review.
- Cleveri Cloud
- Private deployment for qualified pilots
- Your work tracker and Git
MP4/WebM loop · 20–30 s · 16:9 · 2880×1620 · muted · poster frame
Must show: work item picked up → plan proposed → engineer approves → execution → checks pass → pull request opened.
Development-ready work in. Review-ready pull requests out.
- Approved before it's built.
- Verified before it's reviewed.
- Delivered into the workflow you already run.
How Cleveri works
Approved before it's built. Verified before it's reviewed.
Every piece of work moves through five stages. Your team owns the decisions. Cleveri owns the execution.
- 1
Plan
CleveriReads the work item, investigates the codebase and proposes the engineering approach: what will change, where, and how it will be tested.
- 2
Approve
Your engineerReviews and approves the approach before implementation begins. Planning is free; an Engineering Job starts only after approval.
P2 · Plan reviewPNG · 16:10 · 2400×1500
Must show: work item, proposed approach, files to change, test plan, Approve and Request changes buttons.
- 3
Execute
CleveriWhen a Lane is free, Cleveri implements the approved work in a separate engineering environment.
- 4
Verify
The platformRuns your repository's approved build, tests and checks against the delivered code. The coding agent does not decide whether its own work passed.
P3 · Verification resultsPNG · 16:10 · 2400×1500
Must show: build, tests and checks with the commands run, durations, pass state, and a "run by the platform" label.
- 5
Deliver
Your teamThe branch, pull request and verification results return to your normal QA and review workflow.
Intent stays human. Execution becomes elastic.
Measured on outcomes
Judge Cleveri by what lands.
AI usage is a cost. Pull requests are a step. Accepted software is the outcome. Every Cleveri pilot measures engineering capacity against real work.
Every pilot reports the same six measures:
- 01
Pull requests delivered
- 02
First-pass QA acceptance
- 03
Ready-to-PR cycle time
- 04
Human supervision per accepted change
- 05
Jobs per accepted change
- 06
AI cost per accepted change
PNG · 16:9 · 2880×1620
Must show: table of jobs with status, approval, verification, pull request link, AI usage and execution time.
Engineering capacity, redefined
Software delivery no longer has to scale one hire at a time.
Cleveri separates engineering capacity into two simple units. Engineering Jobs set how much work you delegate. Engineering Lanes set how much of it runs in parallel.
Need more work completed? Add Jobs. Need it completed in parallel? Add Lanes.
PNG or short loop · 4:3 · 2400×1800
Must show: Engineering Lanes, running jobs, jobs awaiting approval, the queue, and adding a lane.
Coding assistants make individual engineers faster.
Cleveri adds execution capacity to the engineering organisation.
Fits your stack
Work starts where your team already works.
Your work items
Requirements stay where they're already managed.
Your repositories
Changes return through normal branches and merge or pull requests.
Your build and tests
Verification uses the repository's own engineering commands.
Your AI models
Use the providers and models you choose.
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:
- Pull requests delivered
- First-pass QA acceptance
- Cycle time
- Supervision
- Jobs per accepted change
- AI cost per accepted change