Category
AI prototype to production
Short answer: an AI-built demo can become a product, but only after authentication, database security, error handling, observability, and deployment are treated as engineering — not as more prompting.
This is the category we own: production engineering for founders who already built v0 with AI. Different tools, same question — can this go live, and what exactly is still a prototype?
Builder → production
You already have something in Cursor, Lovable, Bolt, v0, Replit, or Claude Code. These pages explain what to keep, what to harden, and what to rebuild.
Cursor → production
Cursor to Production
A Cursor prototype can go to production after you review authentication, database security, error handling, observability, performance, and deployment architecture. The editor is not the bottleneck — the missing production checklist is.
Lovable → production
Lovable to Production
A Lovable prototype can go to production only after you own the code, lock down auth and the database, and accept that mobile, complex payments, and scale usually need a real stack — not more prompts.
Bolt → production
Bolt to Production
Bolt.new is fast at browser-based prototypes. Production means an exported repo, real authz, a database you can migrate, and a host that is not a demo sandbox.
v0 → production
v0 to Production
v0 (and similar UI generators) should feed a designed Next.js app — not become the app. Production is your data model, auth, and deploy. v0 is the first draft of the screens.
Replit → production
Replit to Production
A Replit app can stay on Replit for a small internal tool. For a product, export the code, move secrets to a real host, and assume Agent-generated architecture needs a review.
Claude Code → production
Claude Code to Production
Claude Code accelerates implementation. Production still requires a human owner for threat model, data migrations, and “what happens when this job fails at 2am.”
Windsurf → production
Windsurf to Production
Windsurf is another agent IDE. Production does not care which tab wrote the code. Review authz, secrets, migrations, and monitoring the same way you would for Cursor.
ChatGPT → production
ChatGPT to Production
An app assembled from ChatGPT snippets can go to production only after it lives in Git, has real authz, and someone has tested a second user. The chat log is not a spec.
Production rescue
The prototype works until it doesn’t. Audits, refactors, security, migration, and maintenance — without turning every article into an agency ad.
Production rescue
AI-Generated Code Audit
An AI-generated code audit is a structured review of auth, authorization, secrets, data access, payments, and deploy — not a vibe check of whether the UI “looks done.”
Production rescue
AI-Generated Code Refactoring
Refactor AI-generated code by deleting unused paths, extracting a domain layer, and adding tests around money and auth — not by rewriting the whole UI for taste.
Production rescue
AI App Security Audit
AI-built apps fail security in predictable ways: keys in the browser, missing row-level security, IDOR on APIs, and LLM endpoints that will happily read another tenant’s documents.
Production rescue
AI App Migration
An AI or no-code migration is a data + auth problem first. Recreate the core loop on a stack you own, then cut over users — do not pixel-match every generated page.
Production rescue
AI-Generated Code Maintenance
Maintaining AI-generated code means assigning a human owner, pinning dependencies, and stopping the habit of regenerating the app for every ticket.
Production engineering
Definitions and checklists: readiness, scalability, store submission. Citation-friendly answers first, then the table.
Engineering
AI App Scalability
Most AI-built apps do not need Kubernetes. They need indexes, pagination, a queue for LLM jobs, and a cap on tokens per user.
Engineering
AI App Production Readiness
A production-ready AI app has hardened auth, tenant-safe data, monitored errors, a real deploy, and a core loop that works when the happy path is not taken.
Engineering
AI App Store Submission
AI-built apps get rejected for the same reasons as human-built ones: broken flows, placeholder content, missing privacy nutrition, and IAP that does not use StoreKit/Play Billing.
Related guides
FAQ
What does “AI prototype to production” mean?
Taking an app generated or heavily assisted by AI tools and making it safe for real users: owned code, hardened auth, tenant-safe data, monitoring, and a deploy you can roll back.
Can a Lovable or Bolt app go to production?
Sometimes after an export and a security pass. Often you rebuild the product loop on Next.js (and Expo if you need stores). The builder is for learning; production is for ownership.
Do I always need an agency?
No. A strong engineer, a freelancer you trust, or you plus a checklist can be enough. A specialized team is useful when you need speed, stores, payments, and a second pair of eyes on authz.