Vibe-coded and AI-built software
You have a working product.
What does the next stage require?
Built with Claude Code, Cursor, Codex, Copilot, Lovable, Bolt, Replit or v0? Before serving a larger customer, more users or more critical business operations, understand the architecture risks and the changes that matter.
Beyond a code scan
A senior view
of the real product.
The assessment uses code, tests, configuration, operating evidence and business context. Tools help us investigate. A senior architect checks the findings that matter and owns the recommendation.
Some systems need targeted hardening, some need structural change. A successful demo does not establish readiness for the next stage, and an AI-built codebase is not automatically a rewrite.
What we look for
The questions we ask
of AI-built software.
- Who may do what? Are permissions and business rules enforced on the server, or only in the browser?
- When something fails, does anyone see it, and can users and data recover?
- Do the tests run the code paths production uses?
- Is a scaling limit really the architecture, or a setting that can change?
- Can a second developer change the code safely?
Related work
Choose the question you need answered.
Each is available as a standalone service when the evidence and scope support it.
Case study
The recommendation
was targeted hardening.
A review of a live AI-assisted platform separated sound design from trust-boundary, failure-handling and operating concerns. That distinction shaped the recommended response.
Preparing for a bigger commitment?
Tell us what the product does, what is changing and when the decision needs to be made.