Engineering decisions, explained.
Focused notes on the boundaries that make AI workflows, transactional systems, and realtime interfaces operable.
Evidence drawn from published case studies · Reviewed 2026-08-12
Production AI operations
- Human decision gates in production AI workflowsSeparate generation from mutation. Let the system gather context and prepare a typed proposal, then require an explicit human decision before application code performs a state-changing action.
- Tracing AI workflows across the whole productCarry one run identity across model calls, workflow stages, tools, application logs, and provider callbacks. Each telemetry system can keep its specialty while the shared identity reconstructs one product outcome.
Transactional product systems
- Transactional boundaries for competing reservationsTreat pending requests as intent, then make acceptance the inventory-claiming transaction. Lock the reservation target first, recheck availability, commit one winner, and close overlapping requests coherently.
- Realtime reconciliation with React QueryPublish a minimal lifecycle event after commit, invalidate only the affected React Query keys, and refetch canonical state. Realtime improves responsiveness without owning correctness.