Built with Warp AI? Deploy it to Google Cloud Platform.
Step-by-step deployment help for Warp AI-built apps on Google Cloud Platform. We fix deployment issues, configure Google Cloud Platform 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 Google Cloud Platform 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.
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 Warp AI 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 Warp AI-built app to Google Cloud Platform?
Yes. We regularly deploy Warp AI-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 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 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 Warp AI project live on Google Cloud Platform?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Warp AI-built projects targeting Google Cloud Platform, the typical path is: fix Warp AI-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 Warp AI app to Google Cloud Platform?
Yes. We handle end-to-end deployment: auditing your Warp AI 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 Warp AI Apps
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