Production-ready infrastructure for software built by AI agents.
For most of computing history, building software required engineers. This year, that stopped being true. Anyone can describe what they want, work with an agent, and end up with a real application, live and in use.
And these aren’t prototypes. Finance teams are building their own approval workflows. Ops teams are building inventory trackers. HR is building onboarding portals. Sales is building the lightweight CRM it always wanted. Real tools, built by the people who need them, that their companies now run on.
But the moment an app is in real use, it starts to need things.
A way to sign people in. To handle the files people upload. To know the instant something breaks for someone. Each is a real problem, and today, each is solved by a different company. One more account, one more integration, one more bill.
People sign in.
And some of them forget their passwords. You need a real way to handle accounts: keeping people logged in, resetting passwords, and storing all of it securely.
People upload things.
A profile photo, a document, sometimes a video. It’s more involved than it looks. Uploaded files can’t safely live on your app’s own domain, so they need a separate one. Images have to be resized for thumbnails and phones. Video has to be converted into formats that play on every device.
You want to know who’s using it.
How many people, how often, and which parts they actually spend time in. That’s a tool of its own.
It starts sending email.
Password resets, receipts, notifications. Getting those to land in someone’s inbox instead of their spam folder is its own discipline: sender authentication, reputation, and handling bounces and unsubscribes.
Something breaks for one person.
They report that a button didn’t work. You try it yourself and everything’s fine. It happened in their browser, with their data, and there’s no way to see it unless the app records what went wrong the moment it broke.
A page is slow, but only sometimes.
Someone says it takes ten seconds to load. For you it’s instant. The only way to find out why is to measure where the time actually goes, on every request.
Someone starts abusing it.
One morning a few thousand text-message resets fire off from a country you’ve never sold to. Maybe a bot, maybe someone testing the app. Either way each one costs money, so you need limits on how often things can run and a way to catch it when it happens.
Legal asks a question.
One that needs real records: who looked at this data, when, and why. Answering it takes audit logs and proper access controls, the compliance-grade kind that often runs into the hundreds of dollars a month.
Other teams want in.
They ask to connect it to the tools they already use: the CRM, Slack, the accounting system. Each of those connections is another service to set up and keep running.
And that’s just the start.
A real product needs far more than what’s on that bill:
- Custom domains & SSL
- Content delivery network
- Full-text search
- Backups & recovery
- In-app notifications
- Subscription billing
- A/B testing
- Localization
- Feature flags
- Status & uptime monitoring
- Documentation
- Help center & support
- Privacy & cookie consent
- Terms of service
- A marketing site
- Launch posts & changelogs
- Onboarding & product tours
- Lifecycle email
- SEO & content
- Internal updates
- and more…
Today’s infrastructure was built for an older way of making software.
Back then, every capability was its own specialized product. Building anything real meant evaluating them, paying for them, and wiring a dozen together over months.
That’s not how software gets made anymore. About half the code on GitHub today is already written with AI, and soon most of it will be. The stack underneath was never built for that.
Remy is that stack, designed for this new way from the ground up.
One agent, one platform, one bill, in place of the dozen you’d otherwise wire together yourself.
But the savings are the smallest part of it. Because it’s all one system, the agent sees the whole product at once: the code, the data, the people using it, the traffic moving through it.
It can notice a signup quietly failing, trace it to the slow query behind it, and fix the code before anyone files a ticket. It can build ten versions of a landing page, point a separate ad at each, and move the budget to the winners as it writes the next round.
A dozen separate services can never do this. Not for lack of good engineers, but because the context is scattered across consoles that don’t share it. One mind sees the whole stack and acts on all of it at once. What takes a team a week of handoffs, it does continuously.
That isn’t a better stack. It’s a new era for software.
Start building