Built with GPT Engineer? Deploy it to Heroku.

Step-by-step deployment help for GPT Engineer-built apps on Heroku. We fix deployment issues, configure Heroku correctly, and get your app live in production. From $19.

GPT Engineer issues we fix before deploying

Problems specific to GPT Engineer's code generation that affect Heroku deployments.

highGPT Engineer

No authentication system

GPT Engineer generates functional UIs but typically skips authentication entirely. All routes and data are publicly accessible.

highGPT Engineer

Direct database access from client

Some generated apps query databases directly from the frontend without an API layer, exposing database credentials and structure.

mediumGPT Engineer

Incomplete feature implementations

Features that look complete in the UI but don't actually work end-to-end. Buttons that don't submit, forms that don't save, and links that go nowhere.

mediumGPT Engineer

Missing error boundaries

A single component error crashes the entire application. No error boundaries or fallback UIs to gracefully handle failures.

Heroku deployment issues we check for

Common Heroku problems that break AI-generated apps in production.

Performance

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.

Config

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.

Performance

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.

Config

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 GPT Engineer project before deploying to Heroku.

External Security Scan

Black-box review of your public-facing app. No code access needed.

$19
  • OWASP Top 10 vulnerability check
  • SSL/TLS configuration analysis
  • Security header assessment
  • Expert review within 24h
Get Started

Code Audit

In-depth review of your source code for security, quality, and best practices.

$19
  • Security vulnerability analysis
  • Code quality review
  • Dependency audit
  • Architecture review
  • Expert + AI code analysis
Get Started
Best Value

Complete Bundle

Both scans in one package with cross-referenced findings.

$29$38
  • Everything in both products
  • Cross-referenced findings
  • Unified action plan
Get Started

100% credited toward any paid service. Start with an audit, then let us fix what we find.

How it works

1

Tell us about your app

Share your project details and what you need help with.

2

Expert + AI audit

A human expert assisted by AI reviews your code within 24 hours.

3

Launch with confidence

We fix what needs fixing and stick around to help.

Frequently asked questions

Can you deploy a GPT Engineer-built app to Heroku?

Yes. We regularly deploy GPT Engineer-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 GPT Engineer projects typically have?

GPT Engineer projects commonly have no authentication system and direct database access from client. 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 GPT Engineer project live on Heroku?

Start with our code audit ($19) to get a prioritized list of deployment blockers. For GPT Engineer-built projects targeting Heroku, the typical path is: fix GPT Engineer-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 GPT Engineer app to Heroku?

Yes. We handle end-to-end deployment: auditing your GPT Engineer codebase, fixing deployment blockers, configuring Heroku correctly, setting up environment variables, and getting your app live in production. Start with our code audit ($19).

Need help deploying your GPT Engineer app to Heroku?

Tell us about your project. We'll respond within 24 hours with a clear plan and fixed quote.

Tell Us About Your App