The focus is on distributed systems resilience, specifically the integration gap between application abstractions and high-availability infrastructure layers.
Build AI-native data systems with clear ownership, semantic contracts, and governance. Learn how accountability, retrieval, and data quality shape AI behavior.
An architectural pattern where multiple specialized AI agents collaborate through a central orchestrator and leverage tools to solve complex user objectives.
Enterprise AI success depends on scalable architecture, governance automation, AI operations, observability, and developer-first enablement strategies.
REST APIs waste tokens. UMA uses MCP to bridge agents to local Wasm/WASI-NN, slashing costs and latency by replacing raw data with deterministic, executable intent.
When optimizing Spring Boot integration tests, developers often focus on obvious metrics, but they do not always explain why an integration test suite is slow.