patterns▌

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$22

Production-ready patterns for building LLM applications, inspired by Dify and industry best practices.

Idiomatic Kotlin patterns and best practices for building robust, efficient, and maintainable applications.

Design optimal agent team compositions with sizing heuristics, preset configurations, and agent type selection. \n \n Seven preset team configurations (Review, Debug, Feature, Fullstack, Research, Security, Migration) with recommended agent counts and types for common workflows \n Team sizing heuristic table matching task complexity (simple to very complex) with recommended team size (1–5 agents) and coordination overhead guidance \n Agent type selection guide covering general-purpose, read-only

Spring Boot patterns for REST APIs, layered services, data access, caching, and async processing. \n \n Covers controller, service, and repository layers with Spring MVC/WebFlux, Spring Data JPA queries, and transactional boundaries \n Includes DTOs with validation, centralized exception handling via @ControllerAdvice , and RFC 7807 error responses \n Provides caching strategies with @Cacheable and @CacheEvict , async processing with @Async , and structured logging via SLF4J \n Demonstrates requ

Coordinate parallel code reviews across multiple quality dimensions with deduplication and severity calibration. \n \n Allocates reviews across five dimensions (Security, Performance, Architecture, Testing, Accessibility) with recommended combinations for different code change types \n Deduplicates findings from multiple reviewers using merge rules based on file location and issue type, with conflict resolution for severity ratings \n Provides severity calibration criteria (Critical, High, Mediu

Production-ready patterns for dbt model organization, testing, documentation, and incremental processing. \n \n Implements medallion architecture with staging, intermediate, and marts layers using consistent naming conventions (stg_, int_, dim_, fct_) and materialization strategies \n Covers source definitions with freshness checks, data quality tests (unique, not_null, relationships), and comprehensive YAML documentation for lineage tracking \n Provides incremental model patterns including dele

Production patterns for Go concurrency including goroutines, channels, synchronization primitives, and context management. \n \n Covers core primitives: goroutines, channels, select, sync.Mutex, sync.WaitGroup, and context.Context with practical examples for each \n Includes seven battle-tested patterns: worker pools, fan-out/fan-in pipelines, bounded concurrency with semaphores, graceful shutdown, error groups, concurrent maps, and select timeouts \n Provides race detection guidance via command

Automated WCAG 2.2 auditing with violation detection, remediation patterns, and compliance guidance. \n \n Covers all four WCAG principles (Perceivable, Operable, Understandable, Robust) with detailed checklists for Levels A, AA, and AAA conformance \n Includes code examples for common violations: missing alt text, insufficient contrast, keyboard traps, form labels, and focus management \n Provides automated testing patterns using axe-core, Playwright, and CLI tools alongside manual verification