A deep dive into architectures and patterns—event sourcing, CRDTs, and vector retrieval—that let you synchronize state across thousands of AI agents in production.
Learn how to combine cryptographic hashes, Merkle proofs, and conflict‑free replicated data types with consensus algorithms to achieve verifiable state consistency in modern distributed architectures.
An in‑depth look at the mathematics and engineering behind CRDTs that enable seamless, server‑less collaborative editing.
A practical guide to building CRDT-powered collaborative applications, covering theory, common data types, implementation patterns, and performance tips.
A deep dive into CRDTs, covering their theory, common types, and step‑by‑step guidance for integrating them into distributed applications.