Built with Warp AI? Deploy it to AWS.
Step-by-step deployment help for Warp AI-built apps on AWS. We fix deployment issues, configure AWS correctly, and get your app live in production. From $19.
Warp AI issues we fix before deploying
Problems specific to Warp AI's code generation that affect AWS deployments.
Generated shell commands may have destructive side effects
Warp AI generates commands that work for the described task but may have unintended side effects — deleting files, overwriting configurations, or modifying system state in ways not specified.
Infrastructure commands executed without dry-run validation
Terraform, kubectl, and cloud CLI commands generated by Warp AI may be run directly without a plan or dry-run step, risking unintended infrastructure changes in production environments.
Scripts lack error handling and exit codes
Generated Bash scripts often don't include `set -euo pipefail`, error trapping, or meaningful exit codes. Silent failures in CI/CD pipelines can cause partial deployments that appear successful.
Generated Dockerfiles not optimized for layer caching
Warp AI generates functional Dockerfiles but doesn't order commands to maximize layer cache reuse, resulting in slow builds that reinstall all dependencies on every code change.
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 Warp AI 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 Warp AI-built app to AWS?
Yes. We regularly deploy Warp 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 Warp AI projects typically have?
Warp AI projects commonly have generated shell commands may have destructive side effects and infrastructure commands executed without dry-run validation. 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 Warp AI project live on AWS?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Warp AI-built projects targeting AWS, the typical path is: fix Warp 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 Warp AI app to AWS?
Yes. We handle end-to-end deployment: auditing your Warp 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).
Related resources
Deploy Warp AI Apps
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