https://buildingai.in/blog Articles on enterprise AI, LLMOps, cloud architecture, and engineering leadership. en-us https://buildingai.in/blog/whats-new-in-java-and-ai https://buildingai.in/blog/whats-new-in-java-and-ai Modern Java (21→25) brings virtual threads, structured concurrency, records, and the FFM API. Here's what's new and how it powers AI apps. Mon, 15 Jun 2026 00:00:00 GMT https://buildingai.in/blog/context-engineering-llm-apps https://buildingai.in/blog/context-engineering-llm-apps What you put in the context window matters more than prompt wording. A practical guide to context engineering — the budget, techniques, and failure modes. Wed, 10 Jun 2026 00:00:00 GMT https://buildingai.in/blog/ai-tools-which-to-use-when https://buildingai.in/blog/ai-tools-which-to-use-when A decision guide to the AI tool landscape — what to use for coding, docs, slides, HLD/LLD, diagrams, UI/Figma, and websites, and how to choose. Wed, 10 Jun 2026 00:00:00 GMT https://buildingai.in/blog/tool-calling-with-spring-ai https://buildingai.in/blog/tool-calling-with-spring-ai A hands-on guide to Spring AI tool calling — define @Tool methods, wire them into ChatClient, and let Claude safely call your Java services. Tue, 09 Jun 2026 00:00:00 GMT https://buildingai.in/blog/build-mcp-server-spring-ai https://buildingai.in/blog/build-mcp-server-spring-ai Most MCP content is Python/TypeScript. Here's how to build an MCP server in Java with Spring AI — expose your services as tools any MCP client can use. Sun, 07 Jun 2026 00:00:00 GMT https://buildingai.in/blog/structured-outputs-with-claude https://buildingai.in/blog/structured-outputs-with-claude Parsing JSON out of prose is a production liability. A practical guide to reliable, schema-conformant structured output from Claude, with Spring AI examples. Thu, 04 Jun 2026 00:00:00 GMT https://buildingai.in/blog/zero-to-production-llm-app https://buildingai.in/blog/zero-to-production-llm-app A four-phase guide to taking an LLM prototype to a production enterprise app — RAG, caching, observability, cost control, and multi-model routing. Tue, 02 Jun 2026 00:00:00 GMT https://buildingai.in/blog/testing-ai-applications https://buildingai.in/blog/testing-ai-applications A complete testing strategy for LLM apps — unit-testing prompts, building eval pipelines, regression-testing quality, and load-testing AI endpoints. Tue, 02 Jun 2026 00:00:00 GMT https://buildingai.in/blog/prompt-caching-llm-costs https://buildingai.in/blog/prompt-caching-llm-costs A practical guide to Anthropic and OpenAI prompt caching — how it works and how to implement it in Spring AI to cut latency and API costs. Tue, 02 Jun 2026 00:00:00 GMT https://buildingai.in/blog/ai-system-resilience https://buildingai.in/blog/ai-system-resilience Resilience patterns for production AI — circuit breakers, fallback chains, and graceful degradation so systems survive provider outages and rate limits. Tue, 02 Jun 2026 00:00:00 GMT https://buildingai.in/blog/spring-ai-enterprise-guide https://buildingai.in/blog/spring-ai-enterprise-guide A practical guide to building enterprise-grade AI applications with Spring AI — from chat clients and RAG pipelines to production observability. Mon, 01 Jun 2026 00:00:00 GMT https://buildingai.in/blog/microservices-best-practices https://buildingai.in/blog/microservices-best-practices Enterprise-grade practices for designing, deploying, and operating microservices systems that actually scale — from domain modelling to runtime resilience. Mon, 01 Jun 2026 00:00:00 GMT https://buildingai.in/blog/kafka-scalability-patterns https://buildingai.in/blog/kafka-scalability-patterns Practical patterns for designing highly scalable Kafka-based enterprise systems — from partition strategy to consumer group tuning. Mon, 01 Jun 2026 00:00:00 GMT https://buildingai.in/blog/building-enterprise-ai-agents https://buildingai.in/blog/building-enterprise-ai-agents Architecture patterns and best practices for building production-grade AI agents that scale — from orchestration to observability. Mon, 01 Jun 2026 00:00:00 GMT https://buildingai.in/blog/rag-chunking-strategies https://buildingai.in/blog/rag-chunking-strategies Your RAG quality is capped by how you chunk. A practical comparison of fixed, recursive, semantic, and structural chunking, with sizing and overlap tips. Sun, 31 May 2026 00:00:00 GMT https://buildingai.in/blog/ai-gateways-enterprise https://buildingai.in/blog/ai-gateways-enterprise As LLM usage spreads across an org, you need a control point. What an AI gateway is, the problems it solves, and the capabilities to look for. Thu, 28 May 2026 00:00:00 GMT https://buildingai.in/blog/evaluating-rag-ragas https://buildingai.in/blog/evaluating-rag-ragas You can't improve a RAG system you can't measure. The metrics that matter — faithfulness, relevance, context precision and recall — and how to build an eval loop. Sun, 24 May 2026 00:00:00 GMT https://buildingai.in/blog/fine-tuning-vs-rag-vs-prompting https://buildingai.in/blog/fine-tuning-vs-rag-vs-prompting Teams reach for fine-tuning when they need RAG, or RAG when a better prompt would do. A decision framework for choosing the right approach by problem type. Thu, 21 May 2026 00:00:00 GMT https://buildingai.in/blog/securing-llm-apps-guardrails https://buildingai.in/blog/securing-llm-apps-guardrails LLM features open new attack surfaces — prompt injection, data leakage, unsafe tool use. A practical guardrails checklist for shipping AI to production safely. Sun, 17 May 2026 00:00:00 GMT