The rebellious sibling of Shipvise
It works on my AI™
Cool. Production disagrees.
The 2026 version of “works on my machine”. A useful field guide for AI-built apps that are almost done, mostly working and definitely not ready for real users.
- 01✓ AI said: done
- 02✓ Preview looked convincing
- 03✕ Production has entered the chat
- 04error: confidence is not a release process
AI generated something
It works. Mostly.
Now you have a broken build, random auth issues, a migration you do not understand, code you do not trust and no safe way back.
Welcome to production.
- ERRA build that only passes in preview
- ERRAuthentication that fails on the real domain
- ERRA database migration with no recovery plan
- ERRSecrets mixed into client code
- ERRNo staging environment
- ERRNo known-good release to roll back to
MORE PROBLEMS & CHECKS
Keep debugging
Your AI-generated app is not working. Start here.
A practical checklist for an AI-generated app that stopped working: isolate the failure, verify configuration and test a safe fix before production.
Read the failure → broken-appThe vibe was immaculate. The app is broken.
Your vibe-coded app broke. Preserve the evidence, narrow the last change and recover through staging instead of prompting blindly in production.
Read the failure → deploymentYour AI app did not deploy. Good: it failed before users found it.
Diagnose a failed deployment of an AI-built app by separating build, configuration, runtime, network and migration failures.
Read the failure → regressionThe AI changed your app. The update changed your plans.
When an AI change breaks your app, stop new edits, compare the last working version, test the regression and restore service safely.
Read the failure → production-readinessIs your AI-built app production ready?
Assess whether an AI-built app is ready for production with concrete checks for ownership, security, data, observability, rollback and deployment.
Read the failure → securityYour AI app passed the demo. Did it pass an attacker?
Review an AI-generated application for exposed secrets, broken authorization, unsafe input, data leakage and deployment risks before production.
Read the failure → repair-reviewAI code review needs to understand the context of the change.
A useful AI code review checks the diff, system boundaries, security, tests and deployability. Learn where AI review helps and where human judgment is needed.
Read the failure → repair-reviewSometimes the right AI tool is a senior developer.
Learn when AI-generated code needs human review, what context to provide and what a senior developer should verify before production.
Read the failure →That is where the joke ends
Shitvise is not a product. Shipvise is.
Shipvise helps bring AI-built software under control through a versioned path to staging, checks, review, explicit approval and production release.
- 01Review it
- 02Test it
- 03Stage it
- 04Approve it
- 05Deploy it
- 06Roll it back
Use your AI
Keep using Codex. Claude. Cursor. Lovable. Whatever comes next.
Your AI can change. Your production workflow does not have to.