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Vibe code audit: know what your AI-built app can safely do

A demo can feel finished long before it is dependable. Our vibe code audit gives you a plain-English view of an AI-built application: what is sound, what is risky, and what should happen next.

Tell us what's in the way

01 / The work

Move with evidence, not optimism.

We trace the routes a real user and operator will take, inspect the code and configuration behind them, and look for the gaps that turn a promising prototype into stalled delivery.

Instead of a vague score or a giant rewrite proposal, you get an ordered remediation plan: immediate risks, high-leverage improvements, and work that can wait until the product has evidence.

02 / What's included

01

Codebase and dependency review

02

Data-flow and integration inspection

03

Reliability and deployment assessment

04

Prioritised written findings

03 / How we work

  1. 01

    Understand the product’s real use cases

  2. 02

    Inspect critical paths and ownership boundaries

  3. 03

    Test assumptions in the running environment where available

  4. 04

    Rank findings by user and business impact

04 / FAQ

What does a vibe code audit examine?

It examines the code generated or assembled with AI tools alongside the application’s architecture, dependencies, authentication, data handling, integrations and release setup. The emphasis is on the paths your users rely on, not cosmetic lint fixes.

Will an audit force a rewrite?

No. A rewrite is only sensible when the evidence supports it. We identify the smallest changes that reduce material risk and distinguish them from improvements that can be scheduled later.