Results for “patterns”

Identifies common software anti-patterns in code and suggests refactoring solutions to improve code quality.

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

Select and design navigation patterns that match product structure, user tasks, and platform conventions.

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

Creates custom Semgrep rules for detecting security vulnerabilities, bug patterns, and code patterns with proper testing and validation.

MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.

Provides React composition patterns to avoid boolean prop proliferation, covering compound components, state management, and React 19 API changes.

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

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

Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.

Foundational SPARQL patterns covering RDF querying, triple patterns, graph patterns, and semantic web fundamentals. Use when querying RDF data or working with knowledge graphs. This is the entry point for SPARQL development.

Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.

Idiomatic Rust patterns, ownership, error handling, traits, concurrency, and best practices for building safe, performant applications.

Provides production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and common pitfalls.

Compare tradeoffs and recommend architectural patterns — dependency injection, service-oriented architecture, repository, domain events, circuit breaker, and anti-corruption layer. Use when choosing between design patterns, planning microservices boundaries, evaluating system design alternatives, or asking 'which pattern should I use' for a specific coupling or resilience problem.

NestJS architecture patterns for modules, controllers, providers, DTO validation, guards, interceptors, config, and production-grade TypeScript backends.

Pattern-Based Diagnosis

Provides production-grade Django architecture patterns including project structure, model design, REST API design with DRF, ORM best practices, caching, signals, and middleware.

Provides idiomatic React 18/19 patterns for hooks, server/client components, Suspense, error boundaries, forms, data fetching, state management, and accessibility-first composition.

Provides backend architecture patterns, API design, database optimization, and server-side best practices for Node.js, Express, and Next.js API routes.

Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.

用于查询优化、模式设计、索引和安全性的PostgreSQL数据库模式。基于Supabase最佳实践。

TypeScript 后端的 Prisma ORM 模式——Schema 设计、查询优化、事务、分页、迁移与测试

Provides MySQL and MariaDB schema, query, indexing, transaction, replication, and connection-pool patterns for production backends.

Provides production-grade Laravel architecture patterns covering controllers, services, actions, Eloquent models, routing, queues, events, caching, and API resources.

Generates detailed, technology-agnostic implementation blueprints by analyzing project architecture, technology stacks, and data flow patterns.

Provides React composition patterns to avoid boolean prop proliferation, build flexible component libraries, and design reusable APIs, including React 19 changes.

Adapt and integrate a specific pattern from your references into your current codebase. Use when you've identified a pattern worth adopting and need a structured plan to integrate it with minimal disruption.

Python development principles and decision-making. Framework selection, async patterns, type hints, project structure. Teaches thinking, not copying.

**Pattern:**