Deploy Your AI-Built App to Heroku
Heroku remains a common deployment target for AI-generated apps due to its simplicity. However, dyno sleeping, ephemeral filesystems, and connection pool limits are persistent issues in AI-built codebases.
Common Heroku deployment issues
Real problems from AI-generated apps deployed to Heroku.
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.
H12 request timeout after 30 seconds
Heroku terminates any request taking longer than 30 seconds. AI-generated endpoints that do heavy computation or long external API calls hit this hard limit.
Node.js and Python version not pinned
Without an engines field in package.json or runtime.txt, Heroku picks a default runtime version that may not match the AI-generated code's requirements.
Start with a self-serve audit
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Code Audit
In-depth review of your source code for security, quality, and best practices.
- Security vulnerabilities
- Code quality review
- Dependency audit
- AI pattern analysis
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- Everything in both products
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How it works
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Frequently asked questions
Why do uploaded files disappear on Heroku?
Heroku uses an ephemeral filesystem that resets on every deploy, restart, or dyno cycling (which happens at least daily). Store files in an external service like AWS S3, Cloudflare R2, or a managed object storage provider. AI tools almost always write files locally.
How do I fix database connection errors on Heroku?
Heroku Postgres has strict connection limits. Use a connection pooler like PgBouncer (available as a Heroku add-on) and ensure your ORM is configured for connection pooling. Set pool size to match your plan's limit divided by the number of dynos.
Can SpringCode fix my Heroku deployment issues?
Yes. We configure Procfiles, set up external file storage, optimize database connection pooling, handle request timeouts, and pin runtime versions so your AI-generated app runs reliably on Heroku.
Related resources
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