Performance — performance optimization, benchmarking, and profiling in Java applications
A complete migration guide covering every scenario: java.util.Date, Calendar, java.sql types, SimpleDateFormat, Jackson serialisation, Hibernate/JPA mapping, Spring MVC binding, and five migration pitfalls — with before/after code examples for Java 8 through Java 21.
20 copy-paste AI prompts for Java concurrency and CompletableFuture — from basics to advanced production patterns and debugging. Covers thread pools, ExecutorService, CompletableFuture chaining, fan-out/fan-in, timeout handling, virtual threads, deadlock diagnosis, thread dump analysis, and full concurrency audits.
A hands-on comparison of serverless Java AI inference on AWS Lambda, Azure Functions, and Google Cloud Run — with real benchmark data, cost tables, a clear winner recommendation, and code you can run.
Project Leyden brings AOT compilation and persistent caching to standard JVM Java — no native binary required. Learn how it works internally, where it wins, where it fails, and how to use it correctly in production.
Three identical Spring Boot 3.4 endpoints — DB-bound, external-API-bound, and CPU-bound — benchmarked under platform threads, virtual threads, and Spring WebFlux. Benchmark tables, explicit counterexamples, and a decision tree: if your service does X, pick Y, because Z.
A JEP-by-JEP deep dive into Java 25 LTS — the features that will actually change how you write and profile Java. Each section includes a before/after code example, an explanation of what the JVM does differently, the pitfall to avoid, and a copy-paste AI prompt to retrofit your existing codebase. Covers JEP 495, 494, 485, 492, 488, 491, 454, and JFR method profiling.
10 copy-paste AI prompts for Java performance optimization. Covers GC log analysis, memory leak detection, virtual thread evaluation, thread dump contention analysis, HikariCP tuning, Stream pipeline optimization, JVM flag review, JMH benchmarking, hot method profiling, and full production performance audits.
10 copy-paste AI prompts for reviewing and improving Java code quality. Covers SOLID violations, thread-safety bugs, virtual thread carrier pinning, N+1 query patterns, resource leaks, exception handling, null safety, logging quality, and full quality audits. Works in Claude, ChatGPT, Gemini, and Cursor.
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 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.