Built with Amazon Q Developer? Deploy it to Heroku.
Step-by-step deployment help for Amazon Q Developer-built apps on Heroku. We fix deployment issues, configure Heroku 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 Heroku 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.
Heroku deployment issues we check for
Common Heroku problems that break AI-generated apps in production.
Free dyno sleeping causes cold starts
Eco and Basic dynos sleep after 30 minutes of inactivity. AI-generated apps with webhook receivers or background jobs break when the dyno is asleep.
Ephemeral filesystem loses uploaded files
AI tools save user uploads and generated files to the local filesystem, but Heroku's ephemeral FS wipes all changes on every dyno restart or deploy.
Database connection pool exhaustion
Heroku Postgres plans have strict connection limits (20 on Hobby). AI-generated apps open a new connection per request, exhausting the pool under moderate traffic.
Procfile missing or incorrect
AI-generated projects lack a Procfile, causing Heroku to guess the start command. For non-standard setups, this guess is often wrong.
Start with a self-serve audit
Get a professional review of your Amazon Q Developer project before deploying to Heroku.
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 Heroku?
Yes. We regularly deploy Amazon Q Developer-generated projects to Heroku. We handle the platform-specific configuration, fix deployment errors, and ensure your app runs reliably in production on Heroku.
What Heroku 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 Heroku, these combine with platform-specific issues like free dyno sleeping causes cold starts and ephemeral filesystem loses uploaded files.
How do I get my Amazon Q Developer project live on Heroku?
Start with our code audit ($19) to get a prioritized list of deployment blockers. For Amazon Q Developer-built projects targeting Heroku, the typical path is: fix Amazon Q Developer-specific code issues, configure Heroku 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 Heroku?
Yes. We handle end-to-end deployment: auditing your Amazon Q Developer codebase, fixing deployment blockers, configuring Heroku 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 Heroku
Need help deploying your Amazon Q Developer app to Heroku?
Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.