A deep-reference guide to Java Records — the concise, immutable data-carrier syntax introduced in Java 16 and matured in Java 21. Covers declaration syntax, compact constructors, custom accessors, equals/hashCode/toString behaviour, records with Jackson, records with Hibernate, records in Spring Boot, and key limitations — with fully annotated code examples and a comparison to plain Java classes.
A complete reference guide to Java Generics: generic classes and methods, bounded type parameters, wildcards, the PECS rule, type erasure, generic interfaces, common pitfalls, and AI prompts to modernise raw-type code.
Complete runnable LLM Gateway project: full directory structure, docker-compose, pom.xml with Spring Boot 3.4.5 and Spring AI 1.1.0, all source files, build instructions, and five end-to-end I/O demos covering normal routing, cache hits, rate limiting, and provider failover.
Complete runnable Spring AI 1.1.0 RAG project: full directory structure, docker-compose, pom.xml, all source files, build instructions, and an end-to-end PDF ingestion and query walkthrough.
Design and implement a production-grade LLM Gateway in Spring Boot. Covers multi-provider routing, circuit breakers, rate limiting, cost tracking, prompt caching, and tenant isolation — the architecture layer every AI-enabled Java application needs.
Build a production-ready RAG pipeline in Java using Spring AI 1.0. Covers vector store setup, smart chunking strategies, reranking, hallucination detection, observability, and anti-patterns to avoid.
A hands-on comparison of Java virtual threads (Project Loom) against platform threads — with a 28× I/O benchmark, CPU-bound proof, memory comparison table, HttpClient real-world example, architecture diagram, and a decision table for when NOT to use virtual threads.
A practical walkthrough of the headline features landing in Java 21 (LTS) through Java 25 (LTS): records, pattern matching, virtual threads, sequenced collections, scoped values, and structured concurrency — with runnable examples and AI prompts you can copy straight into Claude or ChatGPT to migrate your own code.
A copy-paste playbook of AI prompts for migrating Java codebases between every LTS jump: 8→11, 11→17, 17→21, and 21→25. Use them in Claude, ChatGPT, Gemini, or Cursor to automate the repetitive parts of a version upgrade.
A practical guide to the modern Java test stack — JUnit 6 as the runner, AssertJ for fluent assertions, Mockito 5 for mocking, and Testcontainers for real infrastructure. Includes runnable examples for each and AI prompts to generate and refactor tests.