“async”的搜索结果

Python asyncio patterns for concurrent programming. Triggers on: asyncio, async, await, coroutine, gather, semaphore, TaskGroup, event loop, aiohttp, concurrent.

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Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

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Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

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Fix silent failures in Fastly Compute@Edge when using send_async for fire-and-forget requests. Use when: (1) Background tasks (migrations, webhooks, notifications) triggered from Compute never complete, (2) send_async PendingRequest is immediately dropped, (3) Fire-and-forget pattern works locally but fails in production, (4) An async trigger "logs as triggered" but the target service never receives the request (especially after renaming backend constants — the URL hostname is cosmetic, the backend name determines routing, so a global rename can silently reroute calls to the wrong service). Also covers silent backend-not-found errors when FALLBACK_BACKENDS or other backend constants reference names not configured in the Fastly dashboard.

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Modern C# idioms for any .NET project (C# 10+, .NET 6+): nullable reference types, records, readonly structs, primary constructors, pattern matching, async/await with CancellationToken, IDisposable/IAsyncDisposable, file-scoped namespaces, var usage, naming conventions (PascalCase members, _camelCase fields, I-prefixed interfaces), and class design rules. Apply whenever the project is a .NET 6+ project. Stack-agnostic — referenced by every .NET plugin in the marketplace. Use this skill to: - Write self-documenting immutable value types with records and readonly structs. - Handle nullable reference types explicitly to eliminate NullReferenceException at compile time. - Implement async/await correctly with CancellationToken propagation and ConfigureAwait(false) in libraries. - Dispose unmanaged resources correctly via IDisposable / IAsyncDisposable and using statements. - Apply C# pattern matching (switch expressions, property patterns, list patterns) for cleaner branching logic. Do NOT use this skill for: - Framework-specific idioms (ASP.NET Core controllers, minimal APIs, EF Core — those live in aspnet-core-plugin skills). - Build tooling (dotnet CLI, NuGet, csproj) — see csharp-foundation:dotnet-tooling. - Testing patterns — see csharp-foundation:dotnet-testing.

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Specifies the preferred syntax for asynchronous operations using async/await and onMount for component initialization. This results in cleaner and more readable asynchronous code.

中文简介正在准备中。当前显示原文说明。

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

中文简介正在准备中。当前显示原文说明。

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

中文简介正在准备中。当前显示原文说明。

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

中文简介正在准备中。当前显示原文说明。

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

中文简介正在准备中。当前显示原文说明。

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

中文简介正在准备中。当前显示原文说明。

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-...

中文简介正在准备中。当前显示原文说明。

Master Python asyncio, concurrent programming, and async/await patterns for high-performance applications. Use when building async APIs, concurrent systems, or I/O-bound applications requiring non-blocking operations.

中文简介正在准备中。当前显示原文说明。

Diagnose data races, convert callback-based code to async/await, implement actor isolation patterns, resolve Sendable conformance issues, and guide Swift 6 migration. Use when developers mention: (1) Swift Concurrency, async/await, actors, or tasks, (2) "use Swift Concurrency" or "modern concurrency patterns", (3) migrating to Swift 6, (4) data races or thread safety issues, (5) refactoring closures to async/await, (6) @MainActor, Sendable, or actor isolation, (7) concurrent code architecture or performance optimization, (8) concurrency-related linter warnings (SwiftLint or similar; e.g. async_without_await, Sendable/actor isolation/MainActor lint).

中文简介正在准备中。当前显示原文说明。

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

中文简介正在准备中。当前显示原文说明。

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

中文简介正在准备中。当前显示原文说明。

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

中文简介正在准备中。当前显示原文说明。

Comprehensive guidance for implementing asynchronous Python applications using asyncio, concurrent programming patterns, and async/await for building high-performance, non-blocking systems.

中文简介正在准备中。当前显示原文说明。

Build or review Java Spring Boot backends using examples for web APIs, separate application layers, and database access. Covers input validation, error handling, caching, background processing, and logging to guide maintainable implementations.

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• Designing web APIs and separating application layers
• Reviewing database access and transactions
• Adding input validation and centralized error handling

通过具体实现示例设计或审查Java的Quarkus服务，涵盖REST API分层、Panache数据访问、Camel消息路由、RabbitMQ集成及异步处理。

• 划分REST API的职责
• 集成Camel与RabbitMQ
• 审查Panache数据保存逻辑

为FastAPI应用开发与审查提供支持，涵盖项目结构、输入验证、身份验证、权限检查、异步处理、数据库更新及测试的设计与实现。

• 规划FastAPI应用结构
• 定义并验证输入输出数据格式
• 审查身份验证和操作权限

先确定前后端或服务间共享的API与事件数据规范，再生成类型，并按同一规范验证测试数据和实际响应，通过共同审查变更，减少并行开发中的字段偏差与兼容性问题。

• 并行开发前端和后端
• 统一服务间的API与事件格式
• 核对模拟响应与生产响应

Design AWS applications that run without managing servers and respond to events. Get guidance on Lambda APIs, asynchronous workflows, retries, monitoring, and scaling, with implementation patterns based on the AWS Well-Architected Framework.

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• Designing APIs backed by Lambda
• Building asynchronous job processing
• Coordinating services with Step Functions

Build Angular interfaces that handle loading, errors, and data display. This skill guides component work involving asynchronous data, which arrives after a request, and helps organize the interface states needed to present it.

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• Building loading states in Angular
• Handling errors in interface components
• Displaying asynchronously loaded data