Production AI agents can trigger cascading failures when observability tracks what broke, but not whether the system can safely absorb remediation actions.
RAG pipelines are getting more and more popular with vector search at the core of them. However, vector search might not be just enough for high-quality retrieval.
Learn about how middleware in AI agent frameworks enables request rewriting, tool filtering, and context control — capabilities callbacks alone can’t support.
Most agent frameworks observe model calls and allow rewriting them only after they reach the model, making an understanding of callbacks and middleware essential.
Part 3 of a step-by-step tutorial that decorates the implementation with Spring AI advisors to demonstrate how certain production concerns may be addressed.
Design scalable sequential ID generation in distributed systems using the Hi-Lo pattern with Cosmos DB to reduce contention, improve latency, and maintain ordering.
Reliable AI delivery isn't either/or—it's both/and. Test conventionally for functionality. Evaluate probabilistically for quality. Deploy with dual-discipline confidence.
Building a Slack bot with traditional APIs led to 400 lines of code. Using MCP and AWS Bedrock reduced complexity, enabling scalable, tool-driven automation.
Integrate AI into Java apps with Jakarta EE, CDI, MicroProfile Config, and LangChain4j. Build AI services from simple prompts to type-safe domain-driven interactions.