The runnable companion to the Spring AI 2.0 LLM gateway article: clone the module, run the tests with no API key or Docker, read the configuration, and see what the gateway answers over HTTP.
A complete Spring Boot 4.1 and Spring AI 2.0.1 RAG project, file by file: the pgvector schema, configuration, wiring, endpoints and a real end-to-end run. The tests use scripted models, and the page says so wherever an answer appears.
Build and test an LLM gateway on Spring AI 2.0: hint-based routing, failover that works with the new tool-calling advisor, one circuit breaker per provider, token and dollar caps, and a semantic cache. Every number comes from a run.
A Spring AI 2.0 RAG pipeline on Spring Boot 4.1, taken apart one stage at a time on a real PostgreSQL with pgvector: chunking, once-only PDF ingestion, the similarity threshold that is off by default, injection-proof tenant filters, reranking and answer checks. Every number comes from a committed transcript, and the page says plainly what was scripted.
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.
Records, pattern-matching switch, virtual threads, sequenced collections, scoped values and structured concurrency from Java 21 to Java 25 LTS, each compiled and run on JDK 21, 25, 26 and 27: what is really final, when virtual threads stopped pinning, and what 26 and 27 mean for the road to Java 29.
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.
A practical walkthrough of Java's three classic concurrency tools — ExecutorService, CompletableFuture, and ForkJoinPool — with runnable examples, guidance on when to use each, and AI prompts for refactoring legacy concurrent code.
A practical cookbook for the Java Stream API and Collectors utility — filter/map/reduce essentials, groupingBy and partitioningBy patterns, performance gotchas, and AI prompts to refactor legacy loops into clean pipelines.