“async”的搜索结果

Writes, reviews, and debugs idiomatic Rust code with memory safety and zero-cost abstractions. Implements ownership patterns, manages lifetimes, designs trait hierarchies, builds async applications with tokio, and structures error handling with Result/Option. Use when building Rust applications, solving ownership or borrowing issues, designing trait-based APIs, implementing async/await concurrency, creating FFI bindings, or optimizing for performance and memory safety. Invoke for Rust, Cargo, ownership, borrowing, lifetimes, async Rust, tokio, zero-cost abstractions, memory safety, systems programming.

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Doc-first async culture — RFC, status update, async meeting alternative, decision log

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Orientação abrangente para implementar aplicações Python assincronous usando asyncio, padrões de programação concorrente e async/await para construir sistemas de alto desempenho e não bloqueantes.

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Python asyncio、並行プログラミング、高性能アプリケーション向けの非同期/awaitパターンをマスター。非同期API、並行システム、ノンブロッキング操作が必要なI/OバウンドアプリケーションをPythonで構築する際に使用。

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Create a SageMaker endpoint (real-time, real-time scale-to-zero, or async) with autoscaling, CloudWatch alarms, and tagging enabled by default. Use this skill whenever about to create a SageMaker endpoint, write deployment code that calls `create_endpoint`, or finalize a deployment after the image URI and IAM role are known. Provides deploy.py for real-time endpoints, deploy_ic.py for real-time endpoints that scale to zero instances via inference components, and deploy_async.py for async endpoints (also scale-to-zero). This is the last step in the SageMaker deployment workflow. Never generate a bare `create_endpoint` call without these defaults — endpoints without autoscaling or alarms are demos, not deployments.

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Swift Standard Library・Concurrency・Observation リファレンス。 プロトコル/ジェネリクス、async/await、actor、SerialExecutor、Sendable、Task、TaskGroup、AsyncSequence、AsyncStream、 Continuation (CheckedContinuation)、Observable、@Observable、Observations、ObservationRegistrar、 Span、InlineArray、RangeSet、Equatable、Hashable、Comparable、Identifiable、Optional、Codable、Result、generics、some/any。

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Generate Skills from HTTP MCP servers with async job patterns (submit/status/result). Use when converting MCP specifications (.mcp.json) into reusable Skills using mcp_tool_catalog.yaml. Supports --lazy mode for context-saving generation. Also use for calling async MCP tools via JSON-RPC 2.0 with session-based polling.

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多线程并发开发大师——从goroutine/async到分布式锁的完整实战指南。覆盖：Go并发模型、Python async/await、Node.js事件循环、Java虚拟线程、线程安全设计模式、锁策略、无锁编程、并发测试。触发词：并发、多线程、goroutine、async/await、线程安全、锁、race condition、deadlock、互斥锁、Channel、协程、同步原语

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Build high-performance async APIs with FastAPI, SQLAlchemy 2.0, and Pydantic V2. Master microservices, WebSockets, and modern Python async patterns. Use PROACTIVELY for FastAPI development, async optimization, or API architecture.

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Complete guide for upgrading xUnit 2.9.x to 3.x. Use when upgrading xUnit v2 to v3 or understanding xUnit v3 new features and breaking changes. Covers package updates, async void fixes, IAsyncLifetime adjustments. Includes new features: Assert.Skip, Explicit Tests, Matrix Theory, Assembly Fixtures. Keywords: xunit upgrade, xunit v3, xunit 3.x, xunit migration, xunit upgrade, xunit.v3, OutputType Exe, IAsyncLifetime v3, Assert.Skip, SkipUnless, SkipWhen, Explicit attribute, MatrixTheoryData, AssemblyFixture, breaking changes

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通过暂停Node.js执行、检查变量和跟踪执行路径，调查异步任务停滞、测试偶发失败等问题，也可分析内存持续增长和CPU负载的原因。

• 调查异步任务停滞的原因
• 调试偶发失败的测试
• 排查启动和子进程问题

通过先写测试，为Quarkus 3.x LTS服务添加功能、修复故障或重构，验证API、事件及异步处理，并检查测试覆盖率。

• 先写测试再添加REST API
• 复现并修复故障
• 验证Apache Camel路由和事件处理

协助编写、审查和重构 Kotlin 代码，梳理空值处理、不可变数据、异步任务及类型安全的配置写法，使代码结构更易阅读和维护。

• 检查 Kotlin 的空值处理
• 整理可变数据与深层嵌套
• 设计协程与 Flow 异步处理

使用 Kotlin Coroutines 和 Flow 实现 Android 与 Kotlin Multiplatform 的异步任务和数据更新，涵盖并行加载、界面状态、取消、错误处理及测试。

• 并行加载多种数据
• 使用 StateFlow 管理界面状态
• 对搜索输入防抖并重试网络请求

帮助在Django中用Celery将邮件发送、PDF生成等工作转为后台任务，并设计定期运行、失败重试、任务串联、并行执行、监控与测试。

• 在后台发送邮件和生成PDF
• 定期更新库存和发送通知
• 设计重试并防止重复更新

在编写或审查Dart和Flutter代码时，参考状态管理、页面导航、网络通信、错误处理和测试的实现模式，处理空值与异步任务，并整理应用结构。

• 为新功能选择状态管理方式
• 审查空值处理与异步代码
• 根据登录状态进行页面导航

Find CSS and JavaScript that delay a page’s first visible content. Confirm the bottleneck with browser tools or performance data, then adjust loading behavior and inline essential styles to help the page start rendering sooner.

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• Investigating a blank screen during page loading
• Reviewing CSS and JavaScript loading behavior
• Inlining styles needed for the initial display

Measure how Google Tag Manager affects page loading and rendering. Identify costly tags, triggers, and requests, then guide cleanup, asynchronous loading, or a move to server-side processing based on observed performance problems.

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• Investigate slow pages using GTM
• Review unused tags and triggers
• Check asynchronous script loading

Review JavaScript error handling in source code and browser behavior. Find unhandled asynchronous failures, improve logs with useful context, and add React Error Boundaries, components that handle rendering errors, so failures are handled explicitly and are easier to investigate.

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• Reviewing error handling in asynchronous code
• Adding Error Boundaries to React components
• Improving logs for debugging

Review how a page loads CSS, the rules that control its appearance. Inline the styles needed for the first visible content and load the rest asynchronously, while checking layouts across screen sizes and interaction states.

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• Reviewing CSS that delays initial page rendering
• Extracting styles needed for the first visible screen
• Moving noncritical CSS to asynchronous loading

Review the loading order of CSS and JavaScript to address rendering delays and flashes of unstyled content. Suggest changes to the document head, script loading, and critical styles, while checking layouts across screen sizes and interaction states.

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• Investigating flashes of unstyled content
• Reviewing CSS and JavaScript order in the document head
• Checking deferred scripts and critical styles

Investigate crashes, hangs, incorrect responses, and other failures by testing hypotheses against observed runtime behavior. Confirm the cause, verify the fix with a reproducing test, check the real workflow, and remove temporary debugging artifacts.

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• Investigating crashes, hangs, or incorrect responses
• Tracing intermittent failures or asynchronous behavior
• Analyzing binary behavior without source code

Integrate FLUX image generation and editing into applications through the BFL API. The guide covers authentication, checking asynchronous results, completion notifications through webhooks, request limits, error handling, regional endpoints, and downloading generated images before their URLs expire.

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• Add FLUX image generation and editing to an application
• Implement result checks and completion notifications
• Handle request limits and API errors

Use Azure's Python transcription client to turn audio files into text and review timestamped results. Covers authentication, installed SDK options, and error handling, while clarifying when streaming or asynchronous batch work needs a different Speech API.

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• Transcribe a local recording with consent
• Review timestamped transcription output
• Check authentication and installed SDK options