fuast vs AWS

You can think of fuast as "AWS but agent-native, for small software." AWS is the ground the entire modern internet runs on. There is almost nothing you cannot build on it, which is exactly the point and exactly the cost. fuast makes the opposite trade: it gives up AWS's generality to make one narrow thing, the small team app, effortless.

The core difference: primitives you assemble vs an app that already works

AWS hands you primitives. Compute, storage, a dozen database options, identity, queues, functions, networking, each a powerful service with its own console, IAM policies, and knobs. Building even a small internal tool means choosing among them and wiring them together: a Lambda or an EC2 box, an RDS or a DynamoDB, Cognito for auth, S3 for files, a CloudWatch rule for cron, and the glue that holds it all together. Done well, it scales to anything. Done for a 200-line tool, it is a project in itself.

fuast is a small cloud. The primitives are already assembled and hidden behind one contract. You write a capsule, a small full-stack TypeScript app, and ctx.db, ctx.auth, ctx.storage, ctx.email, and cron are simply there. No IAM, no VPC, no console with forty services. You do not choose a database because the choice is made. That is the deal: you give up AWS's reach and get an app that works with almost no assembly.

Batteries and audience: an engineering team vs anyone with a terminal

AWS assumes an engineering team, or at least someone fluent in cloud infrastructure. The flexibility is real and so is the learning curve. It is the right home for serious systems, and the wrong home for the founder who just needs an approval flow by Friday.

fuast is batteries-included for that exact person. Everything a small app needs is part of the platform, and because the contract is published at /llms.txt, fuast is agent-native: you tell your AI "build us an on-call rotation," it writes the capsule, one command deploys it. AWS has AI tooling too, but the artifact is still infrastructure you own and operate; on fuast the artifact is a small app the platform runs for you.

Where AWS is the better call

Honest comparison, and this one is not close for a whole class of work.

• Serious infrastructure at scale. High-traffic systems, complex architectures, heavy data, strict compliance and region requirements. AWS is built for exactly this and fuast is not remotely trying to compete.
• Anything outside the small-app shape. Custom networking, GPU workloads, message queues, data lakes, your own runtime. AWS has a service for it. fuast runs one shape of app.
• You need every knob. When you must control the machine, the network, and the scaling behavior, AWS's generality is the whole reason it exists. Respect it.

fuast is not a general cloud. It is the small cloud for small software, and it is honest about staying in that lane.

Where fuast wins

• The 200-line team app is trivial. No IAM, no VPC, no service sprawl. Write the capsule, deploy, done.
• Your AI writes it. The contract is small and documented for a model, so a sentence becomes a working app on the first try.
• Share it like a doc. Deploy, send a link, coworkers sign in with their own account and the app sees verified identities.
• Real isolation, included. Each capsule runs in its own V8 isolate on its own subdomain origin, multi-tenant by construction rather than by IAM policy.

The short version

Choose AWS when you are building real infrastructure and need infinite flexibility and scale, and you have the team to run it. Choose fuast when a small team app should be an afternoon, not a project, written by your AI and shared like a doc. See the small-cloud trade on your own team: start free, read what a small cloud is, or compare fuast vs Vercel for the product-cloud angle.