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Use when working with Redis - in-memory database, caching, pub/sub, sessions, rate limiting, RESP3, asyncio, Redis Stack

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Design multi-tier caching architectures for web applications — cache-aside vs write-through vs write-behind, TTL design, cache invalidation, Redis patterns, CDN configuration, browser caching, and stampede prevention. Use when choosing a caching pattern, designing cache invalidation strategies, implementing Redis caching, configuring Cache-Control headers, or preventing cache stampedes. Activate on "cache invalidation", "cache-aside", "write-through", "TTL", "Redis cache", "CDN caching", "cache stampede", "stale data", "browser cache". NOT for database query caching within an ORM, memoization of pure functions, or CPU-level caching.

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Design multi-tier caching architectures for web applications — cache-aside vs write-through vs write-behind, TTL design, cache invalidation, Redis patterns, CDN configuration, browser caching, and stampede prevention. Use when choosing a caching pattern, designing cache invalidation strategies, implementing Redis caching, configuring Cache-Control headers, or preventing cache stampedes. Activate on "cache invalidation", "cache-aside", "write-through", "TTL", "Redis cache", "CDN caching", "cache stampede", "stale data", "browser cache". NOT for database query caching within an ORM, memoization of pure functions, or CPU-level caching.

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为Node.js、Express和Next.js服务端开发提供模式，涵盖API设计、数据查询、缓存、认证与错误处理，并示范如何将数据访问和业务规则分层。

• 设计API并划分服务端职责
• 减少不必要的数据库查询
• 引入缓存或异步处理

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

使用Docker和Docker Compose搭建开发环境，检查通信、数据持久化和权限，并在不改动原始文件的情况下验证Linux命令行工具的安装流程。

• 搭建应用与数据库开发环境
• 检查容器通信与数据持久化
• 审查Docker安全配置

Assess database security within an authorized scope by reviewing network exposure, authentication, access permissions, risky features, audit logs, and backup access. Distinguish configuration weaknesses from issues that can be demonstrated through safe validation.

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• Reviewing database exposure and TLS settings
• Checking account privileges and sensitive table access
• Assessing dangerous features and configuration weaknesses

Build and review C#/.NET APIs and business backends using concrete implementation patterns. Cover asynchronous operations, service dependencies, database access, configuration, caching, and tests to structure application code and examine quality and performance issues.

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• Designing a new .NET Web API
• Reviewing asynchronous C# code
• Improving database access and caching

Create a Kotlin Spring Boot project with database connections, API documentation, and local services managed through Docker Compose. Set up dependencies and configuration files, then run Gradle tests to check the initial project.

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• Starting a Kotlin Spring Boot project
• Setting up local Redis, PostgreSQL, and MongoDB services
• Adding API documentation and architecture test dependencies

Create and validate mirrord.json settings for isolated database copies used in development and testing. Configure connection sources, copying scope, migrations, and authentication so experiments can run without affecting shared databases.

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• Preparing isolated databases for development and testing
• Choosing which schemas and data to copy
• Configuring connection sources and IAM authentication

Turn a technical choice into a structured debate between different AI model families. Assign explicit positions, launch the discussion, and summarize agreement, disagreement, and a recommendation supported by the strongest argument that survives the debate.

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• Compare Redis and Memcached for session storage
• Debate monorepo versus polyrepo organization
• Examine a technical choice from opposing positions

Configure Redis for caching and data storage. Set up clustering, persistence, and Sentinel. Use when implementing Redis caching or queues.

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Use when working with Redis in Bun (ioredis, Upstash), caching, pub/sub, session storage, or key-value operations.

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Design and implement caching layers for APIs and web applications using Redis or Memcached. Use when you need to reduce database load, improve response times, or handle traffic spikes. Covers cache-aside, write-through, and write-behind patterns, TTL strategies, cache invalidation, and stampede prevention. Trigger words: cache, Redis, Memcached, TTL, cache invalidation, response time, throughput, rate limiting.

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World-class caching strategies - cache invalidation, Redis patterns, CDN caching, and the battle scars from cache bugs that served stale data for hoursUse when "cache, caching, redis, memcached, cdn, ttl, invalidation, stale, cache aside, write through, cache stampede, thundering herd, cache warming, etag, cache-control, caching, redis, memcached, cdn, performance, http-cache, ttl, invalidation" mentioned.

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BullMQ expert for Redis-backed job queues, background processing, and reliable async execution in Node.js/TypeScript applications. Use when "bullmq, bull queue, redis queue, background job, job queue, delayed job, repeatable job, worker process, job scheduling, async processing, bullmq, bull, redis, queue, background-jobs, job-processing, async, workers, scheduling, delayed-jobs" mentioned.

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Apply Redis data structure, caching, and pub/sub patterns. Use when integrating Redis into a service.

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Manage Alibaba Cloud Redis (Tair / R-KVStore) using the @alicloud/r-kvstore20150101 TypeScript SDK. Use when working with Redis or Tair instances, accounts, backups, security (whitelist/SSL/TDE/audit), parameters, monitoring, cluster scaling, direct connection, Tair Custom instances, and resource tagging. Covers all 157 APIs of the R-KVStore 20150101 version.

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Redis caching patterns, cache-aside, write-through, TTL strategies, and invalidation. Activate on: caching, Redis, cache invalidation, cache-aside, write-through, TTL, CDN cache, stale-while-revalidate. NOT for: CDN/reverse proxy setup (use api-gateway-reverse-proxy-expert), database query optimization (use data-warehouse-optimizer).

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Redis caching patterns, cache-aside, write-through, TTL strategies, and invalidation. Activate on: caching, Redis, cache invalidation, cache-aside, write-through, TTL, CDN cache, stale-while-revalidate. NOT for: CDN/reverse proxy setup (use api-gateway-reverse-proxy-expert), database query optimization (use data-warehouse-optimizer).

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Implements Redis patterns for caching, sessions, rate limiting, pub/sub, and distributed locks with best practices. Use when users request "Redis caching", "session storage", "rate limiter", "pub/sub messaging", or "distributed locks".

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用于设计和检查Node.js、Express、Next.js的API及数据处理，提供职责分离、数据库查询优化、缓存、身份验证、权限检查和后台处理的实现示例。

• 设计API并划分处理职责
• 减少数据库查询次数
• 为数据获取添加缓存

根据多个AI智能体的负载和处理能力分配任务，将待处理任务转移给空闲智能体，调整优先级与执行顺序，并结合等待时间、利用率和成本调整资源分配。

• 重新分配繁忙智能体的待处理任务
• 按优先级与截止时间调整执行顺序
• 调查等待时间和负载分布

Move slow Python operations into background jobs so requests can return promptly. Use task queues and workers, the processes that execute queued work, with retry rules, duplicate handling, time limits, and persistent job status.

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• Send emails and notifications in the background
• Generate reports and data exports asynchronously
• Process uploads and media conversions