Turn any AI-generated prototype into a production-ready AWS app.
ScaleBop is the missing layer between generated code and a real cloud system. Import a repo, detect the stack, get a deployment blueprint, and ship with infrastructure plus CI/CD already mapped out—so when usage grows, you are on AWS architecture you control, not only a bundled host tier that steepens with traffic. We also run a built-in security scan on your imported source so common issues surface next to architecture recommendations—not only after production.
Framework-aware
Next.js, React, FastAPI, Express
Output format
IaC, architecture, pipeline, security findings
Goal
From generated app to deployable system
Ship on AWS so scaling stays yours—not a surprise bill curve.
AI app builders and bundled hosts get you live fast, often with friendly starter pricing. As users and traffic arrive, those paths tend to compound into higher tiers and usage limits. ScaleBop maps your real stack to concrete AWS services and IaC so you move from prototype to a deployable system where cost and capacity follow the architecture you choose.
The chart is illustrative only: it compares the shape of typical bundled scaling versus landing on an AWS-shaped footprint—not a quote or forecast.
AI tools can generate the app, but not the production system around it.
Lovable, Replit, Bolt, Google AI Studio, and similar tools accelerate app creation. The hard part starts the minute you need something durable, secure, and actually deployable.
Still manual
Choose the right AWS architecture without overbuilding it.
Still manual
Translate framework and deployment constraints into a practical plan.
Still manual
Generate infrastructure as code that matches the actual stack.
Still manual
Ship CI/CD, environments, and monitoring without starting from zero.
Still manual
Catch common security issues in AI-generated source before you wire it to the internet.
Cloud delivery assets generated from the code you already have.
Each output reduces handoff friction between app code, infrastructure, and deployment workflow.
Infrastructure as code
Generate AWS CDK, Terraform, Pulumi, or serverless-ready scaffolding from the imported codebase.
Deployment blueprint
Map frameworks like Next.js, Express, FastAPI, and React SPAs to the right AWS services and runtime model.
GitHub Actions pipeline
Produce build, test, typecheck, deploy, and environment promotion workflows with AWS OIDC in mind.
Security scan of your source
ScaleBop scans your imported snapshot for risky patterns. Review severity counts and findings on the analysis page alongside stack detection.
A simple path from imported codebase to deployable system.
Import the project
Start from a GitHub repo, ZIP upload, or an AI-generated project link.
Detect the stack
ScaleBop identifies frameworks, language, build tools, databases, and deployment constraints.
Synthesize architecture
The platform recommends the best-fit AWS setup based on cost, scalability, and simplicity.
Generate delivery assets
Get infrastructure code plus a GitHub Actions pipeline to ship to dev, staging, and prod. Analysis includes a static security scan of the snapshot so you can triage findings before deploy.
Demo project
Lovable-generated Next.js app
CloudFront for delivery, Lambda@Edge for SSR, DynamoDB for persistence, and a CDK project to define it.
Hover for synthesis glow →
Demo project
v0-generated Next.js app
CloudFront for static and edge delivery, AWS Lambda or App Runner for server routes and APIs, a managed datastore matched to the stack, and CDK so the architecture is yours—not only a host dashboard.
Hover for synthesis glow →
Demo project
Bolt-generated FastAPI app
ECS Fargate, an Application Load Balancer, ECR for images, RDS Postgres, and CI/CD to deploy it cleanly.
Hover for synthesis glow →
Your AI app deserves a real home.
Start with a repo, get an architecture recommendation, security findings from your snapshot, and generate the scaffolding needed to deploy with confidence.