Short Answer
Local success only proves the app works on your machine. Deployment adds environment variables, build rules, server/client boundaries, secrets, domains, runtime limits, and real network behavior.
This is not open-ended implementation work. This is a failure-layer diagnosis. The output should be a safe next step: fix, refactor, rebuild, or stop.
Failure Layer
- Build failure: the app cannot compile or bundle in the deployment environment.
- Runtime failure: the app builds but crashes after startup.
- Environment variable mismatch: secrets, URLs, or config exist locally but not in production.
- Server/client boundary issue: AI used browser-only code on the server, or server-only code in the client.
- Auth redirect mismatch: callback URLs, cookies, domains, or redirect settings are inconsistent.
- Database connection issue: local credentials, pooling, network rules, or production database settings do not match.
Quick Self-Check
If two or more are true, this is probably not a simple prompt issue:
- AI has already tried multiple fixes.
- The issue involves auth, database, deployment, payment, or permissions.
- One AI fix breaks another part of the app.
- The app works locally but fails online.
- AI starts editing unrelated files.
AI can still fix
- Missing or misnamed environment variable references.
- Obvious server/client boundary errors.
- Basic package version alignment.
- Small build-config corrections after the real deployment model is understood.
AI should not touch
- Infrastructure choices that were never made explicitly.
- Database migration strategy by trial and error.
- Auth redirect policy without domain and session review.
- Broad runtime rewrites without isolating the first failing boundary.
Smallest Safe Next Step
Identify whether the first failure is build, runtime, environment, auth redirect, database connection, API boundary, or platform limit. Then constrain the fix to that boundary.
Do not let AI rewrite the app yet
Deployment failures usually come from environment, runtime, auth, database, or platform boundaries. A full rewrite may hide the real cause instead of fixing it.
FAQ
Why did it work locally?
Local success only proves your machine. Production adds hosting rules, secrets, domains, runtime limits, and real network boundaries.
Should I keep redeploying after each AI fix?
Not until the failure layer is narrowed. Repeated blind deploys create noise without clarifying root cause.
Is deployment failure always a hosting issue?
No. Hosting is often where architecture, env, or auth mistakes become visible.