AI-built apps
AI-built App Production Readiness Review
Put a human senior-engineering review between a fast AI-assisted build and a public launch, client handoff or new development hire.
Why teams reach this point
AI coding tools make it possible to build quickly, but a working interface does not prove that authorization, data access, secrets, dependencies or deployment boundaries are safe. A focused review separates launch blockers from cleanup that can wait.
Risks the review surfaces
- +Secrets or privileged operations are exposed in the browser or repository.
- +Authentication exists but authorization and database rules are incomplete.
- +Personal data is collected without clear purpose, retention or deletion handling.
- +No architecture or setup documentation exists for the next developer.
What I review
- +Review secrets, authentication, authorization, database and storage exposure.
- +Trace important data flows, integrations, deployment boundaries and dependencies.
- +Assess privacy basics, operational risk and maintainability.
- +Produce a ranked risk register, handoff guide and practical next-step roadmap.
What useful closure looks like
- +Launch blockers separated from later cleanup
- +A safer developer or client handoff
- +A plain-English view of technical and privacy exposure
Relevant experience
- +11+ years of production engineering
- +Security and privacy review of web products
- +Hands-on experience with modern AI-assisted development stacks
Frequently asked questions
Which tools and stacks can you review?
The review is tool-independent and can cover products built with Cursor, Lovable, Replit, Bolt, v0, Claude, ChatGPT and conventional web application stacks.
Do you rewrite the app?
Not within the fixed review. You receive findings, documentation and priorities. Critical remediation or a broader rebuild can be scoped separately.
Do I need to be technical?
No. The outputs explain impact and priority in plain language while retaining enough implementation detail for a developer to act.