analiza aiqbench

GitHub is optimizing its internal storage infrastructure to handle the massive data ingestion and state management requirements expected from next-generation AI agents. This architectural shift aims to prevent bottlenecks that could hinder the scalability of agentic workflows, which rely on persistent, high-throughput data access. The move underscores a critical infrastructural dependency: as AI applications become more autonomous and data-intensive, underlying storage reliability becomes a primary constraint rather than a secondary concern.