SHITVISE

Production reality check

Your Replit works in the workspace. The deployment is a different room.

A working development workspace and a published deployment do not necessarily share secrets, lifecycle, network behavior or persistent storage.

Fix my app →What you can check yourself ↓

01

What happened?

Replit deployment types suit different workloads. Static output, autoscaled web services and continuously running processes have different start commands, ports, state and scaling expectations.

02

Why this happens

  • Workspace secrets were not added to the production deployment.
  • The application binds to a fixed or local-only port instead of the deployment port.
  • A static deployment was chosen for an app that needs server behavior.
  • Local files are treated as durable data although deployment instances can change.

03

What you can check yourself

  1. Confirm the deployment type matches the application runtime.
  2. Verify the production run command, host binding, port and health endpoint.
  3. Configure deployment secrets separately and never expose privileged values to browser code.
  4. Move durable state to an appropriate database or object store and test reconnection.

04

How to test the fix safely

Publish a versioned candidate to staging, test cold starts, authentication, data persistence and errors, then promote it with monitoring and a known recovery version.

05

When you need a developer

A developer can resolve mismatches between generated architecture and deployment model. Shipvise offers a controlled review, staging, deployment, hosting and rollback route for Replit-built code.

FAQ

Questions people ask after the demo stops working

Why is a secret available in my Repl but missing after deployment?

Production deployments can require secrets to be configured in their publishing settings separately from the development workspace.

Which Replit deployment type should I use?

Static sites fit prebuilt client assets; request-driven web applications need a web runtime; persistent workers need an always-running model. Match the type to actual behavior.

Is Shitvise affiliated with Replit?

No. Shitvise and Shipvise are independent and are not endorsed by Replit.

Keep debugging

deployment

Your AI app did not deploy. Good: it failed before users found it.

→production-readiness

Is your AI-built app production ready?

→production-readiness

From “it works on my AI” to “it works in production”.

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Replit is a trademark of its respective owner. Shitvise and Shipvise are independent and are not affiliated with or endorsed by Replit.