Code and architecture audit
Map the application, dependencies, data flows, duplicated logic, hidden assumptions, and highest-risk areas.
From fast prototype to dependable product
I help founders audit, repair, secure, and finish websites and applications created with AI coding tools—without treating generated code as automatically wrong or production-ready.
Discuss your projectA strong fit for
Development scope
Map the application, dependencies, data flows, duplicated logic, hidden assumptions, and highest-risk areas.
Review secrets, authentication, authorization, input validation, database policies, uploads, and exposed endpoints.
Trace recurring failures to their cause instead of stacking more prompts and patches on top.
Add critical automated checks, error reporting, logging, and reproducible development workflows.
Continue building with a consistent model, reusable components, validated server logic, and clear state handling.
Set up environments, domains, email, storage, payments, migrations, backups, and a maintainable release path.
No. Risk depends on the architecture, prompts, tools, review, and deployment. AI can produce useful code, but sensitive features still need explicit authorization, validation, secret handling, and testing.
Usually not. I first identify which parts are sound, which are merely messy, and which create real security or reliability risk. A targeted stabilization plan is often more sensible than a rewrite.
Yes. AI can remain part of the workflow. The important change is adding architectural direction, review, version control, tests, and accountable technical decisions.
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