Built with Sweep AI? Deploy it to Google Cloud Platform.
Step-by-step deployment help for Sweep 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.
Sweep AI issues we fix before deploying
Problems specific to Sweep AI's code generation that affect Google Cloud Platform deployments.
PRs may be too narrow, missing related bug sources
Sweep fixes the specific symptom described in the GitHub issue but often misses related root causes in adjacent code. The bug reappears from a different trigger after the narrow fix.
Security changes in PRs not reviewed for regression
When a GitHub issue involves auth or permissions, Sweep's generated PR modifies security-sensitive code. These changes require careful human review that automated PR creation workflows can bypass.
Generated tests verify implementation, not behavior
Sweep writes tests alongside its code changes, but the tests assert that the specific implementation works rather than that the feature behaves correctly across realistic input scenarios.
Edge cases not covered when issue description is vague
Sweep implements what the issue says literally. Vague issue descriptions lead to implementations that miss important edge cases — null inputs, concurrent requests, or invalid data.
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 Sweep 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 Sweep AI-built app to Google Cloud Platform?
Yes. We regularly deploy Sweep 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 Sweep AI projects typically have?
Sweep AI projects commonly have prs may be too narrow, missing related bug sources and security changes in prs not reviewed for regression. 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 Sweep AI project live on Google Cloud Platform?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Sweep AI-built projects targeting Google Cloud Platform, the typical path is: fix Sweep 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 Sweep AI app to Google Cloud Platform?
Yes. We handle end-to-end deployment: auditing your Sweep 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 Sweep AI Apps
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Need help deploying your Sweep AI app to Google Cloud Platform?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.