Architecture
System boundaries, data flow, tenancy, integrations, and failure paths.
Stabilize an AI-built MVP without automatically rewriting it: identify launch blockers, preserve useful work, and close the highest-risk production gaps.
Most AI-built MVPs contain more salvageable work than a rewrite proposal admits. Finding out which parts those are comes first.
System boundaries, data flow, tenancy, integrations, and failure paths.
Evals, datasets, review criteria, regression gates, and fallback behavior.
Traces, model and tool calls, retrieval, latency, cost, errors, and user outcomes.
Deployment, rollback, reconciliation, runbooks, ownership, and ongoing maintenance.
We start with evidence from the product and codebase, then fix the risks that block real use before expanding scope.
We review architecture, code, data flows, model behavior and deployment to identify blockers and preserve working assets.
We fix the failures that affect users, data integrity, security and the team's ability to ship safely.
We document the resulting system, prioritize remaining work and establish the operating practices the product needs next.
The working product is an asset. We recommend replacing code only when the risk and long-term cost justify it.
We inspect the product before deciding what needs repair, replacement or no change at all.
User, payment, data and model workflows receive attention before cosmetic cleanup.
You keep product ownership and can continue building while we handle the deeper engineering work.
Monitoring and failure signals replace guesswork when the product reaches real users.
Targeted refactoring, dependency cleanup and boundaries that reduce fragility without discarding useful work.
Reliable authentication, data operations, model calls, background work and integration behavior.
Tests, security controls, observability, deployment fixes and a prioritized plan for the remaining risks.
Share the current product and the problems you are seeing. We will define a focused review before proposing implementation work.