Built with Trae? Deploy it to AWS.
Step-by-step deployment help for Trae-built apps on AWS. We fix deployment issues, configure AWS correctly, and get your app live in production. From $19.
Trae issues we fix before deploying
Problems specific to Trae's code generation that affect AWS deployments.
Chinese-language comments and variable names in generated code
Trae occasionally generates inline comments or even variable names in Chinese, particularly for UI-related code, which creates readability issues for teams that operate in English and can complicate code review.
Missing authentication on generated API routes and backend endpoints
Like many AI code generators, Trae creates backend routes without authentication middleware, leaving all endpoints publicly accessible. This is a critical issue for any app handling user data.
Inconsistent coding style across components in the same project
Trae may switch between different state management patterns (useState vs. Pinia vs. Vuex), component styles, or file organization conventions across files in the same generation session, requiring normalization before merging.
Error handling in generated code is immature compared to more established tools
As a newer tool, Trae's error handling patterns are less consistent than Cursor or Copilot — generated code often omits catch blocks on async operations and lacks UI feedback for error states.
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 Trae 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 Trae-built app to AWS?
Yes. We regularly deploy Trae-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 Trae projects typically have?
Trae projects commonly have chinese-language comments and variable names in generated code and missing authentication on generated api routes and backend endpoints. 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 Trae project live on AWS?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Trae-built projects targeting AWS, the typical path is: fix Trae-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 Trae app to AWS?
Yes. We handle end-to-end deployment: auditing your Trae 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
Need help deploying your Trae app to AWS?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.