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AWS RDS instance and snapshot management using AWS SDK for Java 2.x. \n \n Covers core RDS operations: creating and modifying DB instances, managing snapshots, parameter groups, and querying instance metadata across PostgreSQL, MySQL, Aurora, and other engines \n Includes security patterns for VPC configuration, encryption, IAM authentication, and deletion protection; Multi-AZ and automated backup setup for high availability \n Provides Spring Boot and Lambda integration examples with connection

S3 object storage patterns and operations using AWS SDK for Java 2.x. \n \n Covers bucket creation, object uploads/downloads, multipart transfers, presigned URLs, and S3 Transfer Manager for optimized file handling \n Includes synchronous and asynchronous client setup with configurable retry logic, timeouts, and connection pooling \n Provides Spring Boot integration with configuration classes, service layer patterns, and async/reactive workflows \n Supports advanced operations: metadata and encr

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sentry-nextjs-sdk

The Flags SDK (flags npm package) is a feature flags toolkit for Next.js and SvelteKit. It turns each feature flag into a callable function, works with any flag provider via adapters, and keeps pages static using the precompute pattern. Vercel Flags is the first-party provider, letting you manage flags from the Vercel dashboard or the vercel flags CLI.

Build backend AI with Vercel AI SDK v6, covering structured outputs, multi-modal capabilities, tools, and 15 error solutions. \n \n Supports text generation, structured outputs (objects, arrays, choices), speech synthesis, transcription, embeddings, and image generation across 69+ providers (OpenAI, Anthropic, Google, Cloudflare) \n Output API replaces deprecated generateObject/streamObject; use Output.object() , Output.array() , Output.choice() for type-safe structured data with Zod schemas \n

React chat interfaces with Vercel AI SDK v6, covering hooks, message parts, tool approval workflows, and 18 documented UI error solutions. \n \n Three core hooks: useChat for conversational AI, useCompletion for text generation, and useObject for structured output streaming \n Message content now accessed via .parts array (breaking change from v5) with support for text, tool invocations, files, reasoning, and source citations \n Tool approval workflows enable human-in-the-loop confirmation befor

CloudBase document database Web SDK for querying, creating, updating, and deleting data in web applications. \n \n Supports CRUD operations, complex queries with operators (gt, gte, lt, lte, eq, neq, in, nin), and method chaining for filtering, sorting, and field selection \n Includes pagination via skip/limit, aggregation pipelines, geolocation queries, and real-time data synchronization with watch() listeners \n Requires SDK initialization with environment ID and authentication before database

Reference documentation and hands-on guidance for building AI-powered applications with the Vercel AI SDK. \n \n Covers core APIs for text generation, streaming, tool calling, structured output, embeddings, and agent building with ToolLoopAgent \n Includes React hooks (useChat, useCompletion) and framework-specific patterns for Next.js, SvelteKit, and other platforms \n Provides provider integration guides for OpenAI, Anthropic, Google, and others, plus AI Gateway setup for unified model access

sentry-browser-sdk