Built with Amazon Q Developer? Deploy it to Railway.
Step-by-step deployment help for Amazon Q Developer-built apps on Railway. We fix deployment issues, configure Railway correctly, and get your app live in production. From $19.
Amazon Q Developer issues we fix before deploying
Problems specific to Amazon Q Developer's code generation that affect Railway deployments.
Overly permissive IAM policies generated with wildcard actions and resources
Amazon Q often generates IAM policies with `*` wildcards for actions or resources as a starting point, which violates the principle of least privilege. These policies should be scoped to specific actions and resource ARNs before being applied in production.
Lambda cold start latency not addressed in generated function configurations
Generated Lambda functions use default memory and timeout settings without considering cold start impact. Functions with heavy initialization code (loading models, establishing DB connections) need provisioned concurrency or memory tuning, which Amazon Q does not configure.
Generated CDK code creates AWS resources without cost estimation or tagging
Amazon Q CDK suggestions deploy resources without cost-tracking tags or budget guardrails, making it easy to inadvertently provision expensive resources (NAT gateways, multi-AZ RDS instances) without visibility into the cost impact.
DynamoDB access patterns generated without consideration for partition key hot spots
Generated DynamoDB table designs and query patterns sometimes use partition keys that distribute poorly under load — such as a status field with few values — creating hot partitions that throttle at scale.
Railway deployment issues we check for
Common Railway problems that break AI-generated apps in production.
Nixpacks detects the wrong build system
Monorepo projects or apps with multiple package managers confuse Nixpacks auto-detection, resulting in incorrect build commands and failed deployments.
Volume data lost on redeploy
AI-generated apps store uploaded files or SQLite databases on the filesystem without configuring Railway volumes, losing all data on each new deployment.
Private networking misconfigured between services
Internal service communication uses public URLs instead of Railway's private network (*.railway.internal), adding latency and exposing internal APIs publicly.
Health check endpoint missing
Railway restarts services that fail health checks. AI-generated servers often lack a /health endpoint, causing unnecessary restart loops.
Start with a self-serve audit
Get a professional review of your Amazon Q Developer project before deploying to Railway.
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 Amazon Q Developer-built app to Railway?
Yes. We regularly deploy Amazon Q Developer-generated projects to Railway. We handle the platform-specific configuration, fix deployment errors, and ensure your app runs reliably in production on Railway.
What Railway issues do Amazon Q Developer projects typically have?
Amazon Q Developer projects commonly have overly permissive iam policies generated with wildcard actions and resources and lambda cold start latency not addressed in generated function configurations. When deploying to Railway, these combine with platform-specific issues like nixpacks detects the wrong build system and volume data lost on redeploy.
How do I get my Amazon Q Developer project live on Railway?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Amazon Q Developer-built projects targeting Railway, the typical path is: fix Amazon Q Developer-specific code issues, configure Railway settings correctly, then deploy. We provide a fixed quote after the audit.
Can you handle the full deployment of my Amazon Q Developer app to Railway?
Yes. We handle end-to-end deployment: auditing your Amazon Q Developer codebase, fixing deployment blockers, configuring Railway correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).
Related resources
Deploy Amazon Q Developer Apps
Deploy to Railway
Need help deploying your Amazon Q Developer app to Railway?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.