AI-assisted coding can turn an idea into a convincing prototype quickly. Production ordering, marketplace, payment, and delivery systems add operational states that a happy-path demo rarely exercises. The useful question is not whether a prototype works once, but who can operate it when real orders and failures arrive.
The happy-path gap
A prototype often assumes a connected user, a successful payment, an available item, one timezone, and a clean fulfillment path. Production introduces refunds, partial cancellations, duplicate events, stale availability, connection loss, retries, timeouts, and users who resume an interrupted flow.
Operational complexity to inventory
- Order state transitions, idempotency, retries, webhook ordering, and reconciliation.
- Payments, chargebacks, split payments, payouts, refunds, currencies, and tax rules.
- Menu and inventory conflicts across stores, channels, schedules, modifiers, and availability.
- Dispatch, driver assignment, batching, routes, handoffs, proof of delivery, and cancellations.
- Customer, merchant, driver, and support permissions with audit history and privacy controls.
- Monitoring, incident response, backups, recovery, release rollback, and vendor escalation.
Maintenance is part of the product
Every external API, operating-system release, payment rule, marketplace policy, printer, and device can change after launch. Assign owners for upgrades, credentials, failed jobs, support tickets, and data repair. If nobody owns those tasks, the backlog still exists even when the interface looks complete.
Build, configure, or combine both
Build the parts that create a real product advantage. Configure mature infrastructure where the requirement is common and the operating burden is not a differentiator. A hybrid approach can keep a custom experience while relying on documented services underneath, but it still requires clear contracts, integration boundaries, observability, and exit plans.
Production-readiness review
- List critical user journeys and the failure states for each one.
- Define service objectives from measured business needs rather than copying a marketing guarantee.
- Load-test realistic peaks and verify queue, database, payment, and delivery-provider behavior.
- Exercise refunds, cancellations, retries, duplicate events, degraded dependencies, and recovery.
- Confirm security, privacy, tax, accessibility, localization, and app-store responsibilities.
- Document on-call ownership, support tools, observability, backups, rollback, and vendor escalation.
A better decision artifact
For each capability, record whether it will be built, bought, or configured; the source of truth; the integration boundary; the responsible team; the acceptance test; the expected change frequency; and the exit or migration path. Compare options using the same scope instead of an unsupported calendar estimate.
Fast prototyping is valuable because it clarifies the product. Production readiness comes from deliberately covering the operational states, responsibilities, and evidence the prototype helped reveal.