Built with Framer AI? Deploy it to AWS.

Step-by-step deployment help for Framer AI-built apps on AWS. We fix deployment issues, configure AWS correctly, and get your app live in production. From $19.

Framer AI issues we fix before deploying

Problems specific to Framer AI's code generation that affect AWS deployments.

highFramer AI

Missing SEO metadata on generated pages

Framer AI generates visually complete pages but frequently omits Open Graph tags, canonical URLs, structured data, and meta descriptions that search engines and social sharing require.

highFramer AI

No form backend or data handling

Contact forms, newsletter signups, and lead capture elements are rendered in the UI but submit to no endpoint by default, silently discarding user submissions.

mediumFramer AI

Heavy animation runtime hurting Core Web Vitals

Framer Motion's runtime and the animation-heavy pages Framer AI generates add significant JavaScript weight, causing poor Largest Contentful Paint and Total Blocking Time scores that hurt SEO.

mediumFramer AI

CMS content limits blocking at scale

Framer's built-in CMS has item limits, no custom field types, and no programmatic data import. Apps that grow beyond simple blog posts hit these ceilings quickly.

AWS deployment issues we check for

Common AWS problems that break AI-generated apps in production.

Security

IAM policies with wildcard permissions

AI-generated infrastructure code grants Action: '*' and Resource: '*' permissions, violating least-privilege principles and creating critical security exposure.

Security

Security groups open to 0.0.0.0/0

Database and internal service security groups allow inbound traffic from any IP address, exposing RDS instances and backend services to the public internet.

Security

S3 bucket policy allows public read

AI tools configure S3 buckets with public-read ACLs for convenience, inadvertently exposing private user data and application secrets.

Performance

Lambda cold starts degrading API performance

Infrequently called Lambda functions experience 3-10 second cold starts. AI-generated architectures don't configure provisioned concurrency or optimize bundle size.

Start with a self-serve audit

Get a professional review of your Framer AI project before deploying to AWS.

External Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 vulnerability check
  • SSL/TLS configuration analysis
  • Security header assessment
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerability analysis
  • Code quality review
  • Dependency audit
  • Architecture review
  • Expert + AI code analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

How it works

1

Tell us about your app

Share your project details and what you need help with.

2

Expert + AI audit

A human expert assisted by AI reviews your code within 24 hours.

3

Launch with confidence

We fix what needs fixing and stick around to help.

Frequently asked questions

Can you deploy a Framer AI-built app to AWS?

Yes. We regularly deploy Framer AI-generated projects to AWS. We handle the platform-specific configuration, fix deployment errors, and ensure your app runs reliably in production on AWS.

What AWS issues do Framer AI projects typically have?

Framer AI projects commonly have missing seo metadata on generated pages and no form backend or data handling. When deploying to AWS, these combine with platform-specific issues like iam policies with wildcard permissions and security groups open to 0.0.0.0/0.

How do I get my Framer AI project live on AWS?

Start with our code audit ($19) to get a prioritized list of deployment blockers. For Framer AI-built projects targeting AWS, the typical path is: fix Framer AI-specific code issues, configure AWS settings correctly, then deploy. We provide a fixed quote after the audit.

Can you handle the full deployment of my Framer AI app to AWS?

Yes. We handle end-to-end deployment: auditing your Framer AI codebase, fixing deployment blockers, configuring AWS correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).

Need help deploying your Framer AI app to AWS?

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

Tell Us About Your App