Java rules for High Performance

Identify and apply practical Java high-performance techniques using a measure-first approach, with emphasis on allocation reduction, data layout, concurrency discipline, and evidence-based validation.

What is covered in this Skill?

• Measure-first workflow for Java code optimization
• JVM/runtime-aware coding guidance
• Allocation reduction techniques with bad/good patterns
• CPU hot-path simplification and loop-level efficiency patterns
• Concurrency/backpressure and timeout/cancellation discipline
• I/O, parsing, and serialization efficiency patterns
• Persistence/query and caching strategy guidance
• Java-centric decision workflow: keep/revert based on measured impact

Scope: Practical optimization in application code and APIs. Apply only where profiling indicates real bottlenecks.

Constraints

Performance optimization must be evidence-driven and safe, focused on Java code changes that preserve correctness and maintainability.