Building using Claude code - Email reply agent from scratch | LLM Context engineering | Lecture 8

Want to go beyond just watching? Enroll in the Engineer Plan or Industry Professional Plan at https://context-engineering.vizuara.ai These plans give you access to Google Colab notebooks, interactive exercises, private Discord community, Miro boards, a private GitHub repository with all code, and capstone build sessions where you build production-grade AI agents alongside the instructors. Everything is designed so that you can actually implement what you learn, not just watch it. Enroll here: https://context-engineering.vizuara.ai In Session 8 of the AI Context Engineering Bootcamp, we bring everything together in a full end-to-end build session, where we design and implement a real-world AI system: an email reply agent. This session is where all the concepts from previous lectures - context engineering, RAG, tools, memory, compression, and workflows - come together into a single working system. We start by defining the problem: building an agent that can read incoming emails and generate high-quality, context-aware replies. Instead of a simple prompt-based solution, the system is designed as a full pipeline that integrates multiple components. The architecture includes LLM APIs such as OpenAI or Gemini, along with Claude Code for orchestration. The system connects to external services including Gmail for email access, Supabase for storage, Vercel or Railway for deployment, and GitHub for version control. This reflects how real AI systems are built across multiple services rather than inside a single notebook. A key part of the build is integrating RAG with a dynamic knowledge base. The agent retrieves relevant information from past emails, an existing knowledge base, and user preferences. It also incorporates a feedback system where star ratings and user edits are stored and reused to improve future responses. We also design how memory evolves over time. New data such as modified email drafts, user feedback, and recent conversations are continuously added b