Audit
Review architecture, dependencies, data flow, authentication, state, deployment assumptions, and the places where AI-generated code has become brittle or unclear.
Production hardening for AI-built MVPs
AI has changed how software gets started. The service gap is what happens next: audit, harden, refactor, secure, document, and prepare the codebase before real users depend on it.
The buyer is not a developer afraid of AI. The buyer has already used AI tools to ship something real, and now needs production discipline before money, customer data, or operational workflows rely on it.
RFE Online positions this as the missing layer between prototype and production: responsible operators getting confidence before launch.
Review architecture, dependencies, data flow, authentication, state, deployment assumptions, and the places where AI-generated code has become brittle or unclear.
Add or improve tests, validation, error handling, logging, security checks, performance guardrails, and release criteria around the parts most likely to fail in production.
Reduce hidden coupling, clarify module boundaries, remove unsafe shortcuts, and make the codebase easier for a human team or future agent workflow to maintain.
We confirm the product goal, current risk, launch timeline, stack, and the customer workflow that matters most.
We map the highest-risk paths first, separating true launch blockers from nice-to-have cleanup.
We make scoped improvements across tests, refactors, safety checks, reliability, and documentation.
You leave with a clearer codebase, an explicit risk register, and a practical production checklist.
This is built for founders, operators, and small teams with an AI-generated or AI-assisted MVP that already demonstrates value but feels fragile under the weight of launch decisions.
It is not generic prompt coaching, tool comparison, or a from-scratch rebuild by default. The job is to turn working software into a maintainable system with a defensible path to production.
Use the strategy call to scope the product, identify the highest-risk workflows, and decide whether a production-hardening engagement is the right fit.
Book a hardening review