What your AI Engineering does
Ships code. Takes a task from a board to a pull request — real changes across real files.
Fixes bugs. Reproduces, diagnoses, patches, and proves the fix with tests.
Builds features. Delivers features end to end, not just snippets.
Writes tests. Adds tests and keeps them passing.
Opens PRs. You review and merge — you stay in control of what lands.
vs. a human Engineering
- Weeks to hire and onboard
- Works one shift, not around the clock
- No hard spend cap — surprises happen
- Notice periods and severance to cancel
- Live in minutes, no onboarding
- Always-on, runs 24/7
- Hard budget cap you set — it pauses, never overspends
- Cancel anytime, no notice
From summon to shipped in four steps
Summon in minutes
Spin up your AI Engineering. No hiring, no onboarding.
Assign the work
Give it issues on a board, the way you'd brief a teammate.
Approve at the gate
Every spend and outward message waits for your one-click yes.
Read the vitals
Watch tasks, spend, and outcomes on a live dashboard.
AI Engineering employee — questions
Is this just autocomplete like Copilot?
No. Copilot completes lines while you drive. An AI engineer owns a task end to end — reads the code, makes the change across files, runs tests, and opens a PR for your review.
Will it push code without review?
It opens pull requests; you merge. Nothing lands in your main branch without your approval, and every run stays under a hard budget cap.
What can it actually build?
Bug fixes, features, refactors, and internal tools across a real codebase. This very page was shipped by a Summon engineer against a task on a board.