Build when you sleep - Claude code + Openclaw +Telegram +EC2 + tmux | Context Engineering | Lec 7

Vizuara · Beginner ·💻 AI-Assisted Coding ·1mo ago
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 7 of the AI Context Engineering Bootcamp, Dr. Sreedath Panat walks through how to set up a real, production-style workflow for AI agents, moving from concepts to actual system design and deployment. The session starts with a practical overview of the tools required to run AI agents in a real environment. As shown in the lecture slides, the stack includes Claude Code, CCO for sandboxed execution, AWS EC2 for remote compute, VS Code Remote SSH for development, OpenClaw for remote agent access, Telegram for interaction, and tmux for managing persistent terminal sessions. We then move into how to structure development workflows using sprints and task decomposition. Instead of working in an unstructured way, the system is organized into sprint folders, where each sprint is broken down into small atomic tasks. Custom commands such as /prd help define requirements, /dev focuses on implementation with test-driven development, and /walkthrough generates readable summaries of what has been built. A key part of the lecture explains how tmux works as a backbone for long-running AI systems. It allows you to manage multiple terminal sessions inside a single window, ensuring that agents continue running even if your local machine disconnects. We also explore why Telegram is used as an interface layer. Telegram offers a bot-first design with well-documented APIs, allowing agents to send and receive messages programmatically without frict
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