Building a dynamic API translation proxy that leverages Java 21 Virtual Threads and Redisson distributed locking to safely execute AI-driven schema mapping.
A standardized instruction layer for enabling AI agents to accurately navigate, build, and test applications by enforcing clear architectural and operational constraints.
Five assumptions break predictable volume, rare duplicates, human-owned auth, fault-only retries, and log-based debugging, and five targeted fixes address each one.
The Model Context Protocol has evolved to be entirely stateless over HTTP, removing complex session bottlenecks. Pairing this update with cloud-native Java, Quarkus!
Five harness portability tests — memory, tools, skills, orchestration, and governance — that reveal what you trade when committing to an AI agent platform.
Learn about the 2026 MCP security crisis and a capability provenance architecture that detects tool drift, blocks attacks, and strengthens AI agent security.
Cloud cost optimization was hard because cloud made infrastructure consumption easy; AI cost optimization will be worse because AI makes decision consumption easy.
Multi-agent AI streamlines warehouse logistics by coordinating inventory, fulfillment, and automation in real time to improve efficiency and reduce costs.
Discover architectural patterns for integrating AI into enterprise systems without sacrificing governance, reliability, observability, or loose coupling.
In this blog post, we will see how to perform a performance test on a retrieval-augmented generation (RAG) application properly, covering both speed and correctness.