Deploy Your AI-Built App to AWS
Amazon Web Services is the most complex deployment target for AI-generated apps. IAM policies, security groups, and the sheer number of services create a steep learning curve that AI code generators rarely account for.
Common AWS deployment issues
Real problems from AI-generated apps deployed to AWS.
IAM policies with wildcard permissions
AI-generated infrastructure code grants Action: '*' and Resource: '*' permissions, violating least-privilege principles and creating critical security exposure.
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.
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.
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.
CloudFormation stack stuck in rollback
Failed deployments leave CloudFormation stacks in ROLLBACK_COMPLETE state. AI tools don't handle cleanup, blocking subsequent deploys until manual intervention.
VPC subnets and NAT gateway misconfigured
Lambda functions in a VPC can't reach the internet because AI-generated templates omit NAT gateway configuration for private subnets.
Start with a self-serve audit
Get a professional review of your AWS deployment at a fixed price.
Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 checks
- SSL/TLS analysis
- Security headers
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
Complete Bundle
Both scans in one package with cross-referenced findings.
- Everything in both products
- Cross-referenced findings
- Unified action plan
100% credited toward any paid service. Start with an audit, then let us fix what we find.
How it works
Tell us about your app
Share your project details and what you need help with.
Get a clear plan
We respond in 24 hours with scope, timeline, and cost.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Is it safe to deploy AI-generated code to AWS?
Not without review. AI tools routinely generate IAM policies with wildcard permissions, open security groups, and public S3 buckets. These are critical security issues that can lead to data breaches and unauthorized access. Always audit infrastructure code before deploying to AWS.
Why is my AWS Lambda function so slow?
Lambda cold starts are the primary cause. AI-generated functions often bundle large dependencies and don't configure provisioned concurrency. Optimize your bundle size, use Lambda layers for shared dependencies, and consider provisioned concurrency for latency-sensitive endpoints.
Can SpringCode deploy and secure my app on AWS?
Yes. We audit IAM policies, lock down security groups, configure VPC networking correctly, optimize Lambda performance, and set up proper monitoring. We turn AI-generated AWS infrastructure into production-grade deployments.
Related resources
Need help deploying to AWS?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.