Results for “async-api”

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Call APIs, load data into components, and handle the async lifecycle in Blazor.

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Practical async patterns using TaskEither - clean pipelines instead of try/catch hell, with real API examples

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling and real API examples.

Python asyncio - Modern concurrent programming with async/await, event loops, tasks, coroutines, primitives, aiohttp, and FastAPI async patterns

Create production-ready FastAPI projects with async patterns, dependency injection, and comprehensive error handling. Use when building new FastAPI applications or setting up backend API projects.

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

Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2, covering microservices, WebSockets, and modern Python async patterns.

FastAPI best practices covering project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.

Use when implementing fastapi functionality with production-grade patterns and safeguards.

Provides production-grade FastAPI development patterns including project structure, Pydantic v2 schemas, dependency injection, async handlers, authentication, authorization, transactional service layers, and testing with httpx and pytest.

Expert in FastAPI Python development with best practices for APIs and async operations

Consume APIs from the frontend with TanStack Query, fetch, or SWR, including caching, refetching, optimistic updates, and error handling.

Urlbox API skill. Use when working with Urlbox for render. Covers 1 endpoint.

Integrate REST APIs in Python using requests, httpx, or official SDKs, handling authentication, rate limiting, pagination, and errors.

FastAPI 模式——异步 API、依赖注入、Pydantic 请求/响应模型、OpenAPI 文档、中间件及测试

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch blocks with composable error handling and real API examples.

Write, review, debug, and test Python FastAPI applications with path operations, dependencies, Pydantic models, lifespan, middleware, background tasks, exception handling, and ASGI tests.

Build clean async pipelines with fp-ts TaskEither, replacing nested try/catch with composable error handling and real API examples.

FastAPI best practices and conventions. Use when working with FastAPI APIs and Pydantic models for them. Keeps FastAPI code clean and up to date with the latest features and patterns, updated with new versions. Write new code or refactor and update old code.

Best practices and patterns for C# async/await programming including Task and ValueTask usage, CancellationToken propagation, IAsyncDisposable and await using, ConfigureAwait, async streams (IAsyncEnumerable), parallel task execution, and common pitfalls like deadlocks and async void. Use this skill whenever writing, reviewing, or refactoring asynchronous C# code — including when the user mentions async methods, Task-returning APIs, cancellation, deadlocks, blocking on async code, or resource disposal in async contexts, even if they do not explicitly say "async best practices."

Expert API designer for REST, GraphQL, gRPC architectures. Activate on: API design, REST API, GraphQL schema, gRPC service, OpenAPI, Swagger, API versioning, endpoint design, rate limiting, OAuth flow. NOT for: database schema (use data-pipeline-engineer), frontend consumption (use web-design-expert), deployment (use devops-automator).

Create FastAPI routers with CRUD operations, authentication dependencies, and proper response models following established patterns.

Follow best practices for asynchronous programming in C#, including naming, return types, exception handling, performance, and common pitfalls.