Uploaded March 2026 | Updated September 2026, 2 weeks ago
AI coding tools like Claude Code and Cursor are evolving fast - but what separates a basic LLM workflow from a reliable, production-ready coding agent?
In this session, presented by SambaNova Systems, we break down Deep Agent Architecture and explore how orchestration, memory, tools, evaluation, and multi-agent coordination power modern AI coding systems. Plus, see a live demo comparing a simple chain vs. a full deep agent in action.
What you’ll learn:
- What makes a “deep agent” different from a simple LLM chain
- The core architectural pillars behind reliable AI coding agents
- How agents plan, reason, and coordinate tools
- A practical roadmap to production-ready systems
#AIAgents #DeepAgentArchitecture #AICoding #generativeai
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📌 Table of Contents
00:00 Introduction
04:03 The Rise of Coding Agents
07:58 Shallow vs Deep Agents
10:39 Five Pillars of Deep Agents (Orchestration, Memory, Tools, Evals, Skills)
17:57 Memory Systems Explained
20:09 Tools & MCP Servers
25:07 Why Evaluation Matters
29:13 Webhooks & Proactive Agents
🧠 Live Demo
33:42 Setting Up the Environment
38:05 Adding Tools to a ReAct Agent
40:43 Visualizing the Agent Graph
41:44 Observability & Tracing
49:27 Controlling Agent Planning
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datasciencedojo.com/tutorials
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AI coding tools like Claude Code and Cursor are evolving fast - but what separates a basic LLM workflow from a reliable, production-ready coding agent?
In this session, presented by SambaNova Systems, we break down Deep Agent Architecture and explore how orchestration, memory, tools, evaluation, and multi-agent coordination power modern AI coding systems. Plus, see a live demo comparing a simple chain vs. a full deep agent in action.
What you’ll learn:
- What makes a “deep agent” different from a simple LLM chain
- The core architectural pillars behind reliable AI coding agents
- How agents plan, reason, and coordinate tools
- A practical roadmap to production-ready systems
#AIAgents #DeepAgentArchitecture #AICoding #generativeai
------------
📌 Table of Contents
00:00 Introduction
04:03 The Rise of Coding Agents
07:58 Shallow vs Deep Agents
10:39 Five Pillars of Deep Agents (Orchestration, Memory, Tools, Evals, Skills)
17:57 Memory Systems Explained
20:09 Tools & MCP Servers
25:07 Why Evaluation Matters
29:13 Webhooks & Proactive Agents
🧠 Live Demo
33:42 Setting Up the Environment
38:05 Adding Tools to a ReAct Agent
40:43 Visualizing the Agent Graph
41:44 Observability & Tracing
49:27 Controlling Agent Planning
------------
👉 Learn more about Data Science Dojo:
datasciencedojo.com
👉 Explore video tutorials:
datasciencedojo.com/tutorials
👉 See community feedback and success stories:
https://datasciencedojo.com/data-scie...
At Data Science Dojo, we believe data science is for everyone. Our in-person and virtual training programs have helped 10,000+ professionals from 2,500+ companies — including Microsoft, Apple, and Meta — apply AI responsibly and effectively.
🔗 Subscribe to our newsletter for more AI tutorials and events:
datasciencedojo.com/newsletter
