Your code works.
You just don't trust it anymore.
One developer built it. Then left. The agency delivered it. Then disappeared. AI wrote it, and now nobody wants to touch it.
Or none of that is true and you could make the change yourself — you just don't have three days for it, and you are done holding an AI's hand through every decision to get something half-right.
Either way, the product stops moving.
You don't need to start over. You need someone to take it from here.
Regression pass on card and wallet payments
Implement 3-D Secure challenge step
Challenge modal and retry states
Threat review of the payment flow
Assess current checkout against SCA rules
Migration: store authentication outcomes
What Capy is
You built the product.
Now who's going to keep building it?
Give Capy the code you already have and tell it what you want changed. It reads the project until it understands how the thing actually works, plans the change in plain English, makes it, tests it and puts it live. You approve what happens. Nothing ships that you didn't agree to.
It starts with your code
Not a rebuild, not a migration, not a fresh start. The product you already have, however it was built and whoever built it.
You describe the outcome
"Customers in Germany can't check out." "Add a monthly plan." That is a complete request. You never have to describe how to do it.
You approve, you don't supervise
Read the plan, read the change, say yes. You are not steering it between those two moments, and it does not come back every ten minutes to ask what you meant.
How it goes
Six steps, and you only do the first and the fourth
No tickets to write, no specification, no standup. You say what you need and you say yes.
Tell Capy what you need
In your own words. A sentence is enough.
Capy understands your code
It reads the project first — what is in it, how it fits together, what would break.
Capy plans the change
Written in plain English, so you can tell whether it understood you.
You approve it
Or send it back. Nothing is built from a plan you have not read.
Capy builds and tests it
On a copy of your code, never on the live version, so a bad idea costs nothing.
Capy deploys it
To your own servers, watching to see it worked — and putting it back if it did not.
Sound familiar?
However you got here, it is the same problem
The developer left
They knew how all of it worked. Nobody wrote any of it down. What that looks like.
The agency is gone
You own the code. You have no idea what is in it. What that looks like.
The AI built it
It works. Nobody wants to be the one who touches it. What that looks like.
A small change takes a week
The code is old, the work is fiddly, and you have a business to run. What that looks like.
You are done babysitting the AI
You could do it with one. You are tired of watching every step to get there.
The backlog keeps growing
Real features, real fixes, and nobody free to do them.
How it works
You bring the product. Capy keeps it moving.
Everything between what you ask for and what your customers see — planning, building, checking, shipping, and watching it afterwards.
Two moments need you. Everything else is handled — including the night it breaks.
Existing code welcome
It reads your code before it changes anything
Most software work does not start with a blank screen. Increasingly, it starts with an app that Claude or ChatGPT already built — fast, working, and now needing the process that got skipped: tests, review, a real deploy, someone who owns what happens when it breaks. It can just as easily be a codebase nobody fully understands, dependencies years behind, or decisions no one wrote down. Attach the repository and Capy learns the project before it changes anything in it.
Import
Attach an existing GitHub repository to a project. Capy works on your repository, on branches, with the access you granted and nothing more.
Understand
Before the first change, Capy reads the architecture, the conventions the project already follows, its dependencies and how it is put together. What it learns persists — you are not re-explaining your own codebase every session.
Plan
A request becomes engineering tasks with an order and an owner: what has to change, where, and in what order.
Change
Each task runs on its own branch in its own isolated worktree, so parallel work cannot collide and nothing touches your default branch until it has passed the gates you set.
Verify
Tests, code review and a security pass happen before the merge, not after somebody notices in production.
Ship
Deploy to your own servers with a health check, and an automatic rollback if it fails. Then Capy keeps watching.
Take over the app you built with AI · take over a legacy application · add features to an existing product · modernise an old codebase · fix bugs in a system you inherited · upgrade dependencies · extend an API · continue work an engineering team started.
Work on it together
Do not wait for the engineer to come back
When you would rather steer than delegate, open a live session. You describe what you want, Capy builds it in its own workspace, and a preview updates as it goes. Refine it as many times as you like. When it is right, say so — and it becomes a request, with most of the work already done.
You
Say what you want changed
Capy
Builds while you watch
You again
See it, then decide
You interact with the outcome. Capy handles the implementation.
Why you can hand it over
Nothing ships that you did not agree to
Handing your product to someone means knowing what they do when you are not watching. This is the answer to that, and it is the part that should decide whether you trust this at all.
It thinks before it changes
Planning and architecture come first
It does not let agents collide
Every task gets its own branch
It has people whose job is to say no
Architecture, security and review are gates
It knows when to ask you
Technical calls it makes; business calls it escalates
It verifies before shipping
Tested and reviewed before the merge
It watches after shipping
Health checks, rollback, investigations
A different category
This is not another coding copilot
Both are useful. The difference is who carries the work: an assistant makes you faster at doing it yourself, and still needs you in the chair. This is for when you would rather hand the whole thing over.
| A coding assistant | Capy |
|---|---|
| New projects are easiest | Existing, legacy and AI-generated codebases are first-class |
| Helps you write code | Owns the engineering workflow |
| Needs you at every step | Asks only when it genuinely needs a decision |
| You break down the work | Capy plans the work |
| You manage the context | Capy learns the project and keeps what it learns |
| You check the result | QA, code review and security check it |
| You manage deployment | Capy deploys and watches |
| You discover production failures | Capy rolls back and investigates them |
| Stops when you stop typing | Keeps going while you do something else |
| The model is the product | Models are interchangeable intelligence |
No claim here about being the only one, or the first. Judge it on the combination — takeover, persistent project understanding, a specialist organisation, governance, live sessions, Brief, your own keys, and ownership of the deploy.
Brief
Fifteen minutes a day, and you are current
Capy keeps working while you are away. When you come back, Brief walks you through each project in turn: what moved, what is blocked, what it recommends, and anything you mentioned that should become work. A project counts as briefed when you say you are done with it — not when the summary loaded — so a brief you abandon halfway does not silence tomorrow's.
09:00 · You open Capy
Everything since your last brief is waiting. Nothing needed watching overnight.
09:01 · Read the brief
Checkout authentication shipped. Twenty-four tests added. The production deploy verified itself.
09:05 · Answer the one business question
Payment retry behaviour was ambiguous. Capy recommends keeping the current policy and adding a 30-second backoff. You agree, or you say why not.
09:08 · Add what you thought of since
Turkish. Team invitations. A change to onboarding. Say them; they become requests.
09:10 · Approve the plan
The work Capy proposes for today, in the order it intends to do it.
09:12 · Ship it
What is finished and reviewed goes out.
Back to your actual job
Capy works the other twenty-three hours and forty-five minutes, and escalates only what genuinely needs your judgement.
It keeps working whether or not you are watching. That is rather the point.
Built in
The things you would otherwise build yourself
Autonomy you dial up
Start at Manual and approve everything. Move to Supervised when the plans stop surprising you. Reach Autonomous when you trust the gates. Most teams take about three weeks.
Investigations
When production misbehaves, an agent is dispatched with read-only access. It reads logs and diagnostics, writes up the cause, and opens the request that fixes it.
Opened by the failed deployment of REQ-142
Read journalctl -u your-api on prod-web-1
Cause found — SCA_PROVIDER_KEY is not set on the production host
Opened REQ-143 to add the variable to the deploy configuration
Your repositories
GitHub, GitLab, Bitbucket, or any git remote over SSH. No git host at all? Upload a folder or a zip and Capybari makes it a repository. Either way it works on branches inside your repo — not on a copy in ours.
Design previews
Front-end work generates a shareable preview link so stakeholders can look before anything merges.
Editable role contracts
Every role's behaviour is a Markdown document. Tighten it, loosen it, or write your own.
Live run streaming
Watch a task work in real time — the commands it runs and the output it gets back.
Talk to the manager
Chat with the Project Manager about a project. It can turn the conversation into a request.
Rollback that has run
Not a checkbox in a settings page. A command you supply, executed the moment a health check fails.
Built and run with Capy
These are our own products, not customers' logos — we are early, and working with our first founders. When somebody else is willing to put their name here, it will be their name and their words.
Pricing
Priced per system under management, not per seat
What you are buying is custody of a running system: it is understood, it is watched, changes go through gates, and something notices when a deploy goes wrong. None of that gets cheaper because fewer people log in.
Reading is free. Changing is paid. Viewers and collaborators cost nothing, and the compute is separate and passed through — bring your own subscription at no markup, or buy credits.
What a system costs depends on its size and whether we deploy it, and a portfolio costs meaningfully less per system than one project does. Tell us what you have and we will tell you what it costs.
Objections
The questions you are actually asking
Does Capybari need access to my production servers?
Only if you want it to deploy. A deployment target is an SSH host you define, with a deploy command, a health check and a rollback command that you write. Plenty of teams run Capybari for planning and building only and never connect a server at all.
What stops an agent breaking my main branch?
Every task runs on its own branch inside its own git worktree. Nothing touches your default branch until the review gates you configured have passed and the merge succeeds.
Any role can be marked as requiring human review. When it is, dependent work stops until you approve — at every autonomy level, with no exceptions.
What happens when a deployment breaks production?
Your health check fails, your rollback command runs, and an investigation opens automatically. An agent with read-only access reads the logs and diagnostics, writes up the cause, and opens a follow-up request containing the fix.
Write access to a production host is a separate, explicit grant. It is never the default.
Do I have to let it run on its own?
No, and we would rather you didn't at first. Projects start at Manual, where nothing runs until you press the button. Supervised starts planning on its own and dispatches work you have approved. Autonomous lets healthy work ship without you.
Review gates and genuine escalations reach a human at every level.
Is my code used to train models?
No. Your repositories are cloned to run your work and nothing more. We do not train on your code, your prompts or your reports. The security page sets out where your data lives and who can reach it.
What if the plan it writes is wrong?
Reject it, edit it, or say what it missed and have it planned again. Nothing is dispatched from a plan you have not approved unless you have deliberately turned that approval off.
Can it work on an existing, messy codebase?
That is the case we built for. Agents read your conventions before they plan, and the role contracts instruct every specialist to make the smallest safe change and to reuse existing patterns rather than introduce new ones.
Are you ready for my enterprise?
Almost certainly not, and we say so on the pricing page with the specific list of what we are missing. If you need SSO at identity-provider grade, a completed SOC 2 audit or a contractual uptime SLA today, we are not your platform yet.
Still circling something? Ask us directly — a person replies.
Give Capy one problem and see what comes back
Not the whole backlog. One thing that has been stuck — the fix you have been putting off, the feature nobody is free to build. Point Capy at the code, describe the outcome, and read the plan it writes back. Nothing runs until you say so.
Free · no card · Capy reads your repositories and writes you a plain-English description of your own software