System Design

Walk through designing a production RAG chatbot end-to-end, from ingestion pipeline to retrieval, context assembly, guardrails, and handling 100K concurrent users.

Walk through designing a GitHub Copilot-style inline code completion system that delivers suggestions in under 50ms while continuously improving from developer accept/reject signals.

Walk through designing a high-throughput LLM serving system supporting 10,000 concurrent users with SLAs on TTFT, cost per token, and availability across multiple model tiers.

Walk through designing an automated evaluation pipeline that catches quality regressions before deployment, handles thousands of test cases daily, and integrates into CI/CD.

Walk through designing a deep research agent like Perplexity Deep Research that orchestrates multiple specialized subagents to produce a comprehensive, cited research report.

Walk through designing a multi-layer AI content moderation system that handles 10M posts per day with sub-100ms latency, minimizes false positives, and routes borderline content to human review.

Walk through designing a text summarization service that handles documents from 500 to 500K tokens, with chunking strategies, streaming output, and cost optimization under $0.01 per summary.

Walk through designing a multi-turn chatbot that remembers context across sessions using short-term, long-term, and semantic memory tiers while staying within token budgets.

Walk through designing a real-time sentiment analysis system that classifies 50K posts per minute across multiple languages using tiered models, with batch reprocessing and drift detection.

Walk through designing a prompt management system with version control, A/B testing, automated evaluation, and rollback, serving 500 prompts across 20 product teams.

Walk through designing a semantic search system that combines dense embeddings with sparse retrieval, handles 100M documents, and returns relevant results in under 200ms.

Walk through designing an LLM gateway that routes requests across multiple providers, enforces rate limits and cost budgets, provides observability, and handles failover with sub-50ms overhead.

Walk through designing an AI customer support system that resolves 70% of tickets autonomously, escalates complex issues to humans, and learns from agent resolutions to improve over time.

Walk through designing a low-latency translation service supporting 50 language pairs, streaming output, glossary enforcement, and 10K concurrent translation sessions with quality on par with DeepL.

Walk through designing a Devin-style coding agent that takes a GitHub issue, writes code, runs tests, iterates on failures, and opens a pull request, all without human intervention.

Walk through designing an intelligent document processing system that extracts structured data from PDFs, invoices, and contracts using OCR, layout analysis, and LLM extraction at 10K documents per hour.