Saison 2026: täglich aktualisiert 💡 Eigene App, Webseite, KI-Agenten oder Digital-Idee? Das Team hinter BreisgauStraussen entwickelt sie für dich!💡 Eigene App oder KI-Agenten? Wir entwickeln sie für dich!

neooutput

A code review for your vibe-coded MVP, before investors or customers look under the hood

An MVP built with Lovable, Bolt, Cursor or Claude Code in a few weeks can look impressive in a demo. Investors running technical due diligence and your first business customers will still ask the hard questions: how safe is the data, who understands the code, what happens when usage grows? A structured review from neooutput, the agentic coding service of jocapps GmbH, gives you solid answers before someone else finds the weak spots.

Book a call for freeneooutput

Deutsche Version

In short

A code review for a vibe-coded MVP examines security, data protection, data model, scalability and maintainability before launch and produces a ranked list of risks with concrete fixes. For investors it shows the codebase is a solid foundation, and for customers it prevents data breaches. neooutput runs these reviews with AI code engineers backed by AI-assisted analysis.

Your benefits

A ranked risk list

You see what must be fixed before launch and what can safely wait.

Due diligence answers

Architecture, data flows and security measures are documented in plain language.

GDPR in view

We trace which personal data goes where, including to AI providers.

Fixes, not just findings

If you want, our AI code engineers resolve the critical issues directly.

What we examine

The focus is on the risks vibe-coded software typically carries: missing access controls in the database, API keys in the frontend, unprotected admin routes, unvalidated input and dependencies with known vulnerabilities. Maintainability matters too, such as duplicated logic, missing tests and a structure that only makes sense if you have read the original prompt history.

If your MVP processes data with language models, we also look at prompt injection risks and at exactly which data leaves for external providers. Depending on the use case, the EU AI Act can come into play as well, for example through transparency obligations towards users.

Finally, we assess scalability: how does the app behave with ten times the users, which queries slow down first, and which costs grow faster than revenue?

How the review works

A review is predictable and ends with a clear result you can act on.

  1. You grant us read access to the repository and, if you have one, a staging environment.
  2. Automated analysis with coding agents and security tooling produces a first list of findings.
  3. AI code engineers assess each finding in the context of your business model and manually walk through the core flows.
  4. You receive a report with a traffic-light rating, an effort estimate per item and a short summary for investors or customers.

Extra checks before launch

Investors and customers judge the product, not just the code. UXreviewer.io provides AI-assisted suggestions to make onboarding, forms and key flows easier to understand.

If your MVP handles documents, support tickets or call notes containing personal data, Textwash Pro can anonymize that content automatically before it reaches a language model. That lowers privacy risk and makes a strong argument with data-sensitive customers.

If you plan to keep building yourself, the findings are written so they can be handed straight to Claude Code, Codex or Cursor as tasks, and we can verify the results in a short follow-up review.

Frequently asked questions

When is a review worth it?

At the latest when real users or real data are involved. Small projects benefit too, because the typical gaps are cheap to close early.

Can we share the report with investors?

Yes. Alongside the technical findings you receive a readable summary suitable for due diligence. Our processes are certified to ISO 9001 and ISO 27001.

How do you handle our source code?

Confidentially, following ISO 27001 certified processes. Access is set up only for the duration of the review, and we are happy to sign an NDA beforehand.