How AI-native orchestration helps here
AI-native orchestration helps map state machines, webhook behavior, retries, idempotency, reconciliation, dashboard/admin flows, and test coverage before touching revenue-critical code.
Payments
Payments are where weak backend design becomes expensive. I build Stripe-backed systems with the boring but necessary pieces done correctly: retries, idempotency, webhooks, reconciliation, operator visibility, and product flows that do not fall apart once real money is involved.
AI-native orchestration helps map state machines, webhook behavior, retries, idempotency, reconciliation, dashboard/admin flows, and test coverage before touching revenue-critical code.
Production-oriented foundation for a Base-native milestone escrow: smart-account onboarding, programmable milestone release, disputes, and compliance-aware workflows—engineered as a serious monorepo, not a wallet demo.
Comprehensive dashboard system for law firms, lawyers, and executors managing estates.
Mobile app enabling Stripe payments and payouts with enterprise-grade security.
Yes. That is common. I usually start by mapping the current payment state model, webhook flows, and failure cases, then harden the weak paths without breaking revenue-critical behavior.
The whole backend around it. Stripe is only one part of a real billing system. The product logic, auth, retries, support tooling, and operational visibility matter just as much.