#streaming

Architect a real-time data pipeline using Apache Kafka. Components: 1. Producer sending clickstream events (JSON). 2. Kafka topic with 3 partitions for scalability. 3. Consumer group processing events in parallel. 4. Stream processing with Kafka Streams for aggregations. 5. Sink connector to write to Elasticsearch. Include error handling, exactly-once semantics, and monitoring with Kafka lag metrics.

Build AI apps with Vercel AI SDK. Features: 1. useChat hook for chat UI. 2. useCompletion for text generation. 3. Streaming responses with React Server Components. 4. Edge functions for low latency. 5. Multiple provider support (OpenAI, Anthropic). 6. Route handlers for API. 7. Streaming JSON for structured data. 8. Automatic loading states. Use streamText and implement function calling.