Results for “patterns”

Documents HP's design language with color tokens, typography hierarchy, and layout patterns for building enterprise-consumer interfaces.

Implements async/await and Promise patterns in Lightning Web Components, covering imperative Apex calls, loading states, error handling, parallel calls, and cancellation with AbortController.

Provides JPA/Hibernate patterns for Spring Boot data modeling, including entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and connection pooling.

KQL language expertise for writing correct, efficient Kusto Query Language queries. Covers syntax gotchas, join patterns, dynamic types, datetime pitfalls, regex patterns, serialization, memory management, result-size discipline, and advanced functions (geo, vector, graph).

PowerShell Windows patterns. Critical pitfalls, operator syntax, error handling.

Core VB.NET patterns, type safety, modern language features

Backend development with Node.js, Express, NestJS, and server patterns

Pythonic 惯用法、PEP 8 标准、类型提示以及构建稳健、高效且可维护的 Python 应用程序的最佳实践。

Expert in TailwindCSS utility-first styling with responsive design patterns

Expert in Java development with Spring Boot and enterprise patterns

Expert patterns for Segment Customer Data Platform including

Analyze closed deals and lost opportunities for patterns

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

Provides Spring Boot architecture patterns for building scalable REST APIs, including layered services, data access, caching, async processing, and logging.

Scans C#/.NET code for ~50 performance anti-patterns across async, memory, strings, collections, LINQ, regex, serialization, and I/O with tiered severity classification.

Generate production-ready Python code for Dataverse SDK with advanced patterns including error handling, batch operations, OData optimization, and Pandas integration.

Reviews closed trades, partial exits, and monthly trade aggregates for process adherence, risk discipline, execution quality, and evidence-based trading behavior patterns.

Generates custom Semgrep rules from natural language descriptions of vulnerability patterns, verifying syntax with semgrep --validate and testing against sample fixtures with semgrep --test.

Provides production-grade NestJS architecture patterns covering modules, controllers, providers, DTO validation, guards, interceptors, exception filters, configuration, and testing for TypeScript backends.

Production patterns and non-obvious traps for Prisma ORM in TypeScript backends, covering schema design, query optimization, transactions, pagination, and serverless connection handling.

Provides production-oriented patterns for building FastAPI services, covering async endpoints, dependency injection, Pydantic schemas, OpenAPI customization, testing, and security best practices.

Vite build tool patterns including config, plugins, HMR, env variables, proxy setup, SSR, library mode, dependency pre-bundling, and build optimization. Activate when working with vite.config.ts, Vite plugins, or Vite-based projects.

Convert Java code to idiomatic C++. Use when migrating Java projects to C++, translating Java patterns to idiomatic C++, or refactoring Java codebases. Extends meta-convert-dev with Java-to-C++ specific patterns.

Convert Java code to idiomatic Rust. Use when migrating Java projects to Rust, translating Java patterns to idiomatic Rust, or refactoring Java codebases. Extends meta-convert-dev with Java-to-Rust specific patterns.

Convert Go code to idiomatic Rust. Use when migrating Go projects to Rust, translating Go patterns to idiomatic Rust, or refactoring Go codebases. Extends meta-convert-dev with Go-to-Rust specific patterns.

Application architecture patterns and code organization — clean architecture, hexagonal architecture, feature-based structure, dependency inversion, module boundaries, SOLID principles at module scale. Activate on "clean architecture", "hexagonal architecture", "feature-based structure", "dependency inversion", "module boundaries", "architecture pattern", "folder structure", "fat controller", "circular dependency", "IoC container". NOT for microservice decomposition (use microservices-patterns) or database schema design (use database-design-patterns).

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

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

Provides production-ready Dart and Flutter code patterns for null safety, immutable state, async composition, widget architecture, state management, navigation, networking, and testing.

Provides patterns and strategies for migrating imperative TypeScript code to fp-ts functional programming patterns, covering error handling, null checks, callbacks, dependency injection, and loops.

Provides JPA/Hibernate patterns for Spring Boot data modeling, including entity design, relationships, query optimization, transactions, auditing, indexing, pagination, and connection pooling.

Provides F# testing patterns using xUnit, FsUnit, Unquote, FsCheck, and integration testing with Testcontainers and WebApplicationFactory, including test organization and anti-patterns.

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

.NET backend conventions, patterns, and test infrastructure. Use when working with C# files, .csproj projects, ASP.NET APIs, xUnit tests, FluentAssertions, Entity Framework, WebApplicationFactory, dotnet CLI, NuGet packages, .NET dependency injection, middleware, or controller patterns.

Server-Sent Events implementation, streaming patterns, and real-time updates.

Investigate retention patterns, cohorts, drivers, warning signs, and intervention options.