Built with Amazon Q Developer? Deploy it to AWS.
Step-by-step deployment help for Amazon Q Developer-built apps on AWS. We fix deployment issues, configure AWS correctly, and get your app live in production. From $19.
Amazon Q Developer issues we fix before deploying
Problems specific to Amazon Q Developer's code generation that affect AWS deployments.
Overly permissive IAM policies generated with wildcard actions and resources
Amazon Q often generates IAM policies with `*` wildcards for actions or resources as a starting point, which violates the principle of least privilege. These policies should be scoped to specific actions and resource ARNs before being applied in production.
Lambda cold start latency not addressed in generated function configurations
Generated Lambda functions use default memory and timeout settings without considering cold start impact. Functions with heavy initialization code (loading models, establishing DB connections) need provisioned concurrency or memory tuning, which Amazon Q does not configure.
Generated CDK code creates AWS resources without cost estimation or tagging
Amazon Q CDK suggestions deploy resources without cost-tracking tags or budget guardrails, making it easy to inadvertently provision expensive resources (NAT gateways, multi-AZ RDS instances) without visibility into the cost impact.
DynamoDB access patterns generated without consideration for partition key hot spots
Generated DynamoDB table designs and query patterns sometimes use partition keys that distribute poorly under load — such as a status field with few values — creating hot partitions that throttle at scale.
AWS deployment issues we check for
Common AWS problems that break AI-generated apps in production.
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.
Start with a self-serve audit
Get a professional review of your Amazon Q Developer project before deploying to AWS.
External Security Scan
Black-box review of your public-facing app. No code access needed.
- OWASP Top 10 vulnerability check
- SSL/TLS configuration analysis
- Security header assessment
- Expert review within 24h
Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerability analysis
- Code quality review
- Dependency audit
- Architecture review
- Expert + AI code 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.
Expert + AI audit
A human expert assisted by AI reviews your code within 24 hours.
Launch with confidence
We fix what needs fixing and stick around to help.
Frequently asked questions
Can you deploy a Amazon Q Developer-built app to AWS?
Yes. We regularly deploy Amazon Q Developer-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 Amazon Q Developer projects typically have?
Amazon Q Developer projects commonly have overly permissive iam policies generated with wildcard actions and resources and lambda cold start latency not addressed in generated function configurations. 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 Amazon Q Developer project live on AWS?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Amazon Q Developer-built projects targeting AWS, the typical path is: fix Amazon Q Developer-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 Amazon Q Developer app to AWS?
Yes. We handle end-to-end deployment: auditing your Amazon Q Developer codebase, fixing deployment blockers, configuring AWS correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).
Related resources
Deploy Amazon Q Developer Apps
Need help deploying your Amazon Q Developer app to AWS?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.