In this episode of Agentic Conversations, we're joined by Shaun Smith, software engineer, open source advocate, and contributor at Hugging Face, to explore how AI coding has changed almost overnight.

We dive into reinforcement learning, MCP (Model Context Protocol), Fast Agent, Claude Code, open source AI, and why today's language models have become so capable that many traditional software libraries are becoming "liquefied." Shaun explains how reinforcement learning unlocked long-running autonomous agents, why ideas are becoming more valuable than code, and how developers should think about building software in an era where AI can generate entire applications.

Along the way, we discuss Hugging Face's MCP server, Fast Agent, AI-powered developer tools, multimodal applications, MCP Apps, context windows, coding assistants, Rust, Python, TypeScript, open-weight models, software architecture, and what the future of programming looks like when humans increasingly focus on design instead of implementation.

Shaun Smith: https://www.linkedin.com/in/smithshaunDemetrios: https://www.linkedin.com/in/dpbrinkm

Hugging Face: https://huggingface.co

Timestamps:

00:00 Introduction

01:56 The State of Open Source AI

05:18 Reinforcement Learning Changed Everything

07:50 Fast Agent Explained

10:18 Fast Agent as an MCP Reference Platform

12:20 Building Smarter AI Tools at Hugging Face

15:17 Natural Language Search Instead of APIs

17:46 Why MCP Apps Matter

20:06 The Evolution of MCP Apps

23:05 Building AI-Native User Interfaces

26:12 Context Is the New Programming Language

28:00 The End of Code Libraries

29:50 Why Developers Aren't Writing Code

31:25 AI Changes Software Engineering

33:05 The Future of Open Source AI

35:43 Claude Skills That Save Hours

38:02 Training Models with AI

39:05 Building Your Own AI Tools

40:50 MCP for Consumers, Enterprises, and Developers

43:42 Why Shell Access Makes Agents Smarter

45:18 Secure Agent Workflows

46:08 The Future of AI Interfaces

47:02 Outro

Developers May Stop Depending on Libraries

Agentic Conversations (formally mlops.community)

Developers May Stop Depending on Libraries