Design and engineering of systems that span multiple machines or processes, including consensus protocols, concurrency control, ACID transactions, state replication, and the trade-offs of coordination at scale.
As AI agents shift to asynchronous background work, fragile HTTP connections must be replaced by durable, session-based transport to support long-running tasks and seamless multi-device interactions.
The research advocates for using distributed systems theory as a formal framework to design and evaluate multi-agent LLM teams more effectively.
Stop treating Terraform state like a file—manage it as a graph with ACID transactions to unlock safe concurrency and faster operations.
