Java 17–25 policy and pitfalls. Use when writing, reviewing, or refactoring Java code — enforces idioms around records, sealed types, switch exhaustiveness, Optional, virtual threads, and null-safety that LLMs frequently get wrong.
Kotlin 2.x policy and pitfalls. Use when writing, reviewing, or refactoring Kotlin code — enforces coroutine-safety, Flow correctness, null-safety, and API-design rules that LLMs frequently get wrong.
Use when working on Laravel projects. Covers architecture decisions (Services vs Actions), thin controllers, Form Requests, API Resources, and API versioning. Enforces Larastan verification after code generation.
Redis policy & pitfalls — key naming, atomicity, TTL strategy, distributed locks, cache patterns, production traps. Use when designing Redis-backed caches, locks, queues, rate limiters, or sessions. Covers the traps LLMs get wrong by default: SETNX + EX (deprecated), KEYS on production, Pub/Sub no-persistence, HGETALL…
Use when building, modifying, or reviewing Spring Boot 4.x applications (Spring Framework 7, Spring Security 7, Hibernate 7, Jackson 3) in Java or Kotlin — REST controllers, Spring Data JPA repositories, OAuth2 / JWT, WebFlux reactive endpoints, Kafka / event-driven code, Resilience4j, Spring Cloud, or Spring Boot…
SQL policy & pitfalls — query correctness, indexing strategy, safe migrations. Use when writing SQL, diagnosing slow queries, designing schemas, or reviewing Flyway/Liquibase migrations. Covers the traps LLMs miss by default: NOT IN with NULLs, function-on-column breaking indexes, OFFSET on large tables, NOT NULL…
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