Point the agents at your repo
Give the fleet access to your codebase and tell it what you want in plain language. It reads your repo, your conventions, and your past decisions first, so the change fits how your code is already written.
Software development
AI coding agents that open PRs, not commits.
The safest way to put AI on a codebase: agents work on a branch, open a pull request, review their own diff, and a human merges. Not one model guessing in a chat box, but a fleet, a coder, a reviewer, and a pentester, with every change signed, logged, and reversible.
How it works
From an idea to a pull request you approve.
It builds on a branch
The coder writes the change on its own branch, never on your main branch. You keep shipping while it works, and nothing touches production until you say so.
The fleet reviews itself
Before a human looks, a reviewer agent pushes back on the diff and a pentest agent hunts for what the coder missed. Specialists check each other's work, so what reaches you is already vetted.
You merge, with receipts
The work lands as a pull request for you to approve and merge. Every action is signed, logged, and reversible, so you get the change with a full audit trail and a rollback path.
Agents propose, humans merge
Agents work on a branch, open a pull request, and review their own diff. A human merges. The model never pushes to your main branch directly, so review stays where it belongs.
A coder, a reviewer, a pentester
A coder that ships PRs, a reviewer that pushes back, and a pentest agent that finds what the coder missed. Specialists check each other's work before a human ever looks.
Under a minute, bug to triage
On a SaaS certificate platform with 239 active sites, anything reported anywhere in the fleet is triaged in under a minute. On a marketplace, the agents ship product end-to-end with zero project managers.
It learns your codebase
Agents keep months of context. They build on what they learned about your repo, your conventions, and your past decisions instead of re-reading everything cold each time.
Every change signed and reversible
Every agent action is signed, logged, and exportable, with a rollback path on every change. You get autonomy with receipts.
GATE is built by agents on GATE
The platform improves itself: agents on GATE ship code to GATE, open the pull requests, and review them. We run our own product on our own codebase every day.
How it fits
It joins your workflow, it does not replace it.
The agents run on the same three primitives as the rest of GATE: memory that compounds across a codebase, a fleet that reviews its own work, and autonomy that ships real diffs with an audit trail. Because everything lands as a pull request, your team keeps the final say.
Teams that need it get the governance to match: signed and exportable actions, policy enforced before any model is called, and EU-resident hosting. See the full posture in the Trust Center, or how the same stack runs other work on customers.
The same fleet powers related work across GATE: it maps an unfamiliar codebase, hosts and deploys what it builds, and edits a live page by pointing at it. Each lands the same way, as a change you review.
FAQ
Straight answers.
Do the agents commit directly to our main branch?
No. Agents work on a branch and open a pull request that a human reviews and merges. The model does not push to main directly, so your review process stays in control.
What stops bad code from shipping?
Layers: a reviewer agent pushes back on the coder's diff, a pentest agent looks for what the coder missed, every action is signed and logged, and a human merges. Every change has a rollback path.
Can the agents work on our existing codebase?
Yes. Agents work through the normal pull-request workflow on a branch, so they fit the review process your team already uses rather than replacing it.
Do we need a developer on the team to use this?
You do not need to write the code yourself. You describe what you want in plain language and the agents build it, open the pull request, and explain the change. You do need someone to approve and merge what ships, because that final say stays with a human by design. GATE runs this way itself: agents on GATE ship code to GATE every day.
What can the agents actually build?
Real, shippable software, not just snippets. On a marketplace in production they ship product end to end with no project managers. The same fleet can map an unfamiliar codebase, build and deploy a new service, or edit a live page and open the pull request for it.
Where does our code run, and is it kept private?
On EU-resident hosting, with policy enforced before any model is called. Every agent action is signed, logged, and exportable, and every change has a rollback path, so you get autonomy with a full audit trail.
Put a fleet on your codebase.
Discovery call, no slides. Tell us what you're building and we'll scope it with you.