Instead of polling whole datasets, clients subscribe to ordered change feeds with compact metadata that proves causality. Version vectors or logical clocks let peers determine what they have seen and what they have missed. This design avoids redundant transfers, accelerates reconciliation, and clarifies reasoning about concurrent edits. Developers gain a precise mental model, while the system optimizes bandwidth, battery, and compute budgets without obscuring correctness under piles of fragile heuristics.
Meaningful data cannot be bulldozed by timestamps. CRDTs, operational transforms, and structured merges preserve user intent across concurrent changes, allowing lists to interleave predictably and documents to integrate edits without surprises. When semantic conflicts occur, policy hooks explain and guide recovery. Users see collaboration as cooperative rather than adversarial, because their contributions survive mismatched schedules and flaky networks. The goal is dignity for every edit, not invisible data loss masked by silence.
Whether peers meet over Bluetooth, Wi‑Fi Direct, home servers, or cloud relays, the sync layer should adapt without app rewrites. Policy chooses routes based on cost, trust, and availability, while encryption keeps payloads private end‑to‑end. This makes proximity sharing fast, roaming painless, and remote collaboration reliable. The user’s intent dictates connectivity, not the other way around, and developers compose capabilities rather than hardcoding brittle assumptions about networks.