Built with Trae? Deploy it to Google Cloud Platform.
Step-by-step deployment help for Trae-built apps on Google Cloud Platform. We fix deployment issues, configure Google Cloud Platform 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 Google Cloud Platform 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.
Google Cloud Platform deployment issues we check for
Common Google Cloud Platform problems that break AI-generated apps in production.
Cloud Run container port misconfigured
Cloud Run injects the PORT environment variable, but AI-generated Dockerfiles hardcode port 3000 or 8080, causing the container to fail health checks and never become healthy.
Service account with Owner role
AI-generated deployment scripts use the default compute service account with overly broad Owner permissions instead of custom roles scoped to required APIs.
Cloud Run concurrency set to 1
Default concurrency of 1 request per container instance causes excessive scaling and costs. AI tools don't optimize concurrency settings for the application's actual threading model.
VPC connector not attached for private resources
Cloud Run services can't reach Cloud SQL or Memorystore instances in a VPC because AI-generated configs omit the Serverless VPC Access connector.
Start with a self-serve audit
Get a professional review of your Trae project before deploying to Google Cloud Platform.
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 Google Cloud Platform?
Yes. We regularly deploy Trae-generated projects to Google Cloud Platform. We handle the platform-specific configuration, fix deployment errors, and ensure your app runs reliably in production on Google Cloud Platform.
What Google Cloud Platform 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 Google Cloud Platform, these combine with platform-specific issues like cloud run container port misconfigured and service account with owner role.
How do I get my Trae project live on Google Cloud Platform?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Trae-built projects targeting Google Cloud Platform, the typical path is: fix Trae-specific code issues, configure Google Cloud Platform settings correctly, then deploy. We provide a fixed quote after the audit.
Can you handle the full deployment of my Trae app to Google Cloud Platform?
Yes. We handle end-to-end deployment: auditing your Trae codebase, fixing deployment blockers, configuring Google Cloud Platform correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).
Related resources
Deploy to Google Cloud Platform
Need help deploying your Trae app to Google Cloud Platform?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.