Built with Magic.dev? Deploy it to AWS.

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

Magic.dev issues we fix before deploying

Problems specific to Magic.dev's code generation that affect AWS deployments.

highMagic.dev

Complex implementations that are difficult to maintain

Magic.dev's ability to generate large, multi-file implementations means it can produce sophisticated code that works but is hard for human engineers to understand, debug, or extend.

highMagic.dev

Security decisions made at scale without explicit review

When Magic.dev generates an entire feature spanning many files, security decisions — API authentication, data access patterns, input validation — are embedded throughout without a clear review surface.

mediumMagic.dev

Over-engineered solutions for straightforward requirements

Magic.dev tends toward comprehensive, extensible implementations. Simple CRUD operations may receive complex abstraction layers, generic type systems, and plugin architectures that add maintenance burden.

mediumMagic.dev

Dependency on Magic.dev's specific AI model for future changes

Complex generated codebases are easiest to modify by re-running Magic.dev with updated prompts. This creates dependence on continued access to their service for ongoing development.

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 Magic.dev 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 Magic.dev-built app to AWS?

Yes. We regularly deploy Magic.dev-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 Magic.dev projects typically have?

Magic.dev projects commonly have complex implementations that are difficult to maintain and security decisions made at scale without explicit review. 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 Magic.dev project live on AWS?

Start with our code audit ($19) to get a prioritized list of deployment blockers. For Magic.dev-built projects targeting AWS, the typical path is: fix Magic.dev-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 Magic.dev app to AWS?

Yes. We handle end-to-end deployment: auditing your Magic.dev 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 Magic.dev 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