ChatGPT Clone
Build a full-stack ChatGPT clone with real-time streaming responses, conversation history, and multiple chat sessions.
Overview
Create a chat application that mimics ChatGPT's core UX: streaming AI responses, markdown rendering, code syntax highlighting, conversation history, and session management. This is the most common AI-related take-home project in 2024-2026.
The ChatGPT clone has become the definitive take-home project for AI-focused engineering roles. Every candidate claims to understand LLM integration, but building a working streaming chat interface from scratch proves it. The project covers the full stack: a Python backend that proxies AI API calls with streaming, an SSE transport layer that delivers tokens in real time, and a React frontend that renders them progressively with markdown formatting.
The UX details are what separate a passing submission from an impressive one. Token-by-token rendering that updates without visible flicker, auto-scrolling that respects manual scroll position, code blocks with syntax highlighting and copy buttons, conversation sidebar with rename and delete, and keyboard shortcuts for power users. These are the features that ChatGPT itself refined over months, and recreating them shows deep product thinking.
For interviews, this project opens rich technical discussions: SSE vs WebSocket trade-offs, context window management strategies, streaming performance optimization, Docker containerization, and database schema design for conversation persistence. It is the highest-ROI take-home project for any full-stack or AI-adjacent role.
Interview questions
- WebSocket vs SSE for streaming?
- How do I implement token-by-token streaming?
- How should I store conversation history?
- What features make a ChatGPT clone stand out?
- How do I handle the Docker requirement?
- How do I manage conversations that exceed the AI model context window?
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