AI Engineer World's Fair 2025 - Day 1 Keynotes & MCP track ft. Anthropic MCP team

AI Engineer · Beginner ·📰 AI News & Updates ·11mo ago

Skills: Agent Foundations90%LLM Foundations80%Tool Use & Function Calling80%Prompt Craft70%

full schedule here: https://ai.engineer/schedule thanks @yashgargk for timestamps: 0:00:00 - start 0:15:15 - Welcome to AI Engineer - Laurie Voss (LlamaIndex) 0:22:17 - Designing AI-Intensive Applications - Shawn Wang (Latent Space) 0:35:46 - Spark to System: Building the Open Agentic Web - Asha Sharma (Microsoft) 0:59:02 - State of Startups and AI 2025 - Sarah Guo (Conviction) 1:24:44 - 2025 in LLMs so far - Simon Willison (Datasette) 1:43:20 - Agentic GraphRAG - Stephen Chin (Neo4j), Andreas Kollegger (Neo4j) 1:47:58 - Track Intros - Laurie Voss (LlamaIndex) 1:51:00 - Break 2:29:26 - MCP Track Intro - Henry Mao (Smithery) 2:31:16 - MCP Origins & RFS - Theodora Chu (Anthropic) 2:49:47 - What we learned from shipping remote MCP support at Anthropic - John Welsh (Anthropic) 3:03:51 - Full Spectrum MCP: Uncovering Hidden Servers and Clients Capabilities - Harald Kirschner (VS Code, Microsoft) 3:18:54 - MCP isn’t good, yet - David Cramer (Sentry) 3:36:34 - Break 5:08:05 - MCP is all you need - Samuel Colvin (Pydantic) 5:25:43 - Observable tools - the state of MCP observability - Alex Volkov (Weights & Biases), Benjamin Eckel (Dylibso) 5:43:00 - The rise of the agentic economy on the shoulders of MCP - Jan Curn (Apify) 6:02:05 - Break 7:08:00 - Buffer 7:09:28 - Closing thoughts on Agentic GraphRAG + Demo - Stephen Chin (Neo4j), Andreas Kollegger (Neo4j) 7:15:22 - Building Agents at Cloud-Scale - Antje Barth (AWS) 7:34:26 - Windsurf everywhere, doing everything, all at once - Kevin Hou (Windsurf) 7:50:31 - Buffer 7:51:30 - #define AI Engineer - Greg Brockman (OpenAI), Shawn Wang (Latent Space)

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AI Engineer Summit 2023 — DAY 1 Livestream

AI Engineer Summit 2023 — DAY 1 Livestream

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AI Engineer Summit 2023 — DAY 2 Livestream

Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)

Principles for Prompt Engineering - Karina Nguyen (Claude Instant @ Anthropic)

Announcing the AI Engineer Network: Benjamin Dunphy

Announcing the AI Engineer Network: Benjamin Dunphy

The 1,000x AI Engineer: Swyx

The 1,000x AI Engineer: Swyx

Building AI For All: Amjad Masad & Michele Catasta

Building AI For All: Amjad Masad & Michele Catasta

The Age of the Agent: Flo Crivello

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See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman

See, Hear, Speak, Draw: Logan Kilpatrick & Simón Fishman

Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase

Building Context-Aware Reasoning Applications with LangChain and LangSmith: Harrison Chase

Pydantic is all you need: Jason Liu

Pydantic is all you need: Jason Liu

Building Blocks for LLM Systems & Products: Eugene Yan

Building Blocks for LLM Systems & Products: Eugene Yan

The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer

The Intelligent Interface: Sam Whitmore & Jason Yuan of New Computer

Climbing the Ladder of Abstraction: Amelia Wattenberger

Climbing the Ladder of Abstraction: Amelia Wattenberger

Supabase Vector: The Postgres Vector database: Paul Copplestone

Supabase Vector: The Postgres Vector database: Paul Copplestone

[Workshop] AI Engineering 101

[Workshop] AI Engineering 101

The Hidden Life of Embeddings: Linus Lee

The Hidden Life of Embeddings: Linus Lee

[Workshop] AI Engineering 201: Inference

[Workshop] AI Engineering 201: Inference

The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex

The AI Pivot: With Chris White of Prefect & Bryan Bischof of Hex

The AI Evolution: Mario Rodriguez, GitHub

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Move Fast Break Nothing: Dedy Kredo

Move Fast Break Nothing: Dedy Kredo

AI Engineering 201: The Rest of the Owl

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Building Reactive AI Apps: Matt Welsh

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Pragmatic AI with TypeChat: Daniel Rosenwasser

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Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan

Domain adaptation and fine-tuning for domain-specific LLMs: Abi Aryan

Retrieval Augmented Generation in the Wild: Anton Troynikov

Retrieval Augmented Generation in the Wild: Anton Troynikov

Building Production-Ready RAG Applications: Jerry Liu

Building Production-Ready RAG Applications: Jerry Liu

120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson

120k players in a week: Lessons from the first viral CLIP app: Joseph Nelson

The Weekend AI Engineer: Hassan El Mghari

The Weekend AI Engineer: Hassan El Mghari

Harnessing the Power of LLMs Locally: Mithun Hunsur

Harnessing the Power of LLMs Locally: Mithun Hunsur

Trust, but Verify: Shreya Rajpal

Trust, but Verify: Shreya Rajpal

Open Questions for AI Engineering: Simon Willison

Open Questions for AI Engineering: Simon Willison

Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD

Storyteller: Building Multi-modal Apps with TS & ModelFusion - Lars Grammel, PhD

GPT Web App Generator - 10,000 apps created in a month: Matija Sosic

GPT Web App Generator - 10,000 apps created in a month: Matija Sosic

Using AI to Build an Infinite Game: Jeff Schomay

Using AI to Build an Infinite Game: Jeff Schomay

How to Become an AI Engineer from a Fullstack Background - Reid Mayo

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The Code AI Maturity Model and What It Means For You: Ado Kukic

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AI Engineer World’s Fair 2024 - Keynotes & Multimodality track

AI Engineer World’s Fair 2024 - Keynotes & Multimodality track

From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet

From Text to Vision to Voice Exploring Multimodality with Open AI: Romain Huet

The Making of Devin by Cognition AI: Scott Wu

The Making of Devin by Cognition AI: Scott Wu

The Future of Knowledge Assistants: Jerry Liu

The Future of Knowledge Assistants: Jerry Liu

Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney

Llamafile: bringing AI to the masses with fast CPU inference: Stephen Hood and Justine Tunney

Open Challenges for AI Engineering: Simon Willison

Open Challenges for AI Engineering: Simon Willison

Lessons From A Year Building With LLMs

Lessons From A Year Building With LLMs

From Software Developer to AI Engineer: Antje Barth

From Software Developer to AI Engineer: Antje Barth

Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner

Unlocking Developer Productivity across CPU and GPU with MAX: Chris Lattner

Copilots Everywhere: Thomas Dohmke and Eugene Yan

Copilots Everywhere: Thomas Dohmke and Eugene Yan

Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han

Fixing bugs in Gemma, Llama, & Phi 3: Daniel Han

Low Level Technicals of LLMs: Daniel Han

Low Level Technicals of LLMs: Daniel Han

Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta

Emergence Launch: AI Agents and the future enterprise: Dr. Satya Nitta

How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou

How Codeium Breaks Through the Ceiling for Retrieval: Kevin Hou

What's new from Anthropic and what's next: Alex Albert

What's new from Anthropic and what's next: Alex Albert

Using agents to build an agent company: Joao Moura

Using agents to build an agent company: Joao Moura

Decoding the Decoder LLM without de code: Ishan Anand

Decoding the Decoder LLM without de code: Ishan Anand

Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner

Running AI Application in Minutes w/ AI Templates: Gabriela de Queiroz, Pamela Fox, Harald Kirschner

Building with Anthropic Claude: Prompt Workshop with Zack Witten

Building with Anthropic Claude: Prompt Workshop with Zack Witten

Building Reliable Agentic Systems: Eno Reyes

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10x Development: LLMs For the working Programmer - Manuel Odendahl

10x Development: LLMs For the working Programmer - Manuel Odendahl

Disrupting the $15 Trillion Construction Industry with Autonomous Agents: Dr. Sarah Buchner

Disrupting the $15 Trillion Construction Industry with Autonomous Agents: Dr. Sarah Buchner

Hypermode Launch: Kevin Van Gundy

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Git push get an AI API: Ryan Fox-Tyler

Git push get an AI API: Ryan Fox-Tyler

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Chapters (25)

start

15:15 Welcome to AI Engineer - Laurie Voss (LlamaIndex)

22:17 Designing AI-Intensive Applications - Shawn Wang (Latent Space)

35:46 Spark to System: Building the Open Agentic Web - Asha Sharma (Microsoft)

59:02 State of Startups and AI 2025 - Sarah Guo (Conviction)

1:24:44 2025 in LLMs so far - Simon Willison (Datasette)

1:43:20 Agentic GraphRAG - Stephen Chin (Neo4j), Andreas Kollegger (Neo4j)

1:47:58 Track Intros - Laurie Voss (LlamaIndex)

1:51:00 Break

2:29:26 MCP Track Intro - Henry Mao (Smithery)

2:31:16 MCP Origins & RFS - Theodora Chu (Anthropic)

2:49:47 What we learned from shipping remote MCP support at Anthropic - John Welsh (An

3:03:51 Full Spectrum MCP: Uncovering Hidden Servers and Clients Capabilities - Harald

3:18:54 MCP isn’t good, yet - David Cramer (Sentry)

3:36:34 Break

5:08:05 MCP is all you need - Samuel Colvin (Pydantic)

5:25:43 Observable tools - the state of MCP observability - Alex Volkov (Weights & Bia

5:43:00 The rise of the agentic economy on the shoulders of MCP - Jan Curn (Apify)

6:02:05 Break

7:08:00 Buffer

7:09:28 Closing thoughts on Agentic GraphRAG + Demo - Stephen Chin (Neo4j), Andreas Ko

7:15:22 Building Agents at Cloud-Scale - Antje Barth (AWS)

7:34:26 Windsurf everywhere, doing everything, all at once - Kevin Hou (Windsurf)

7:50:31 Buffer

7:51:30 #define AI Engineer - Greg Brockman (OpenAI), Shawn Wang (Latent Space)

Soft Skills for the Job Market: Communication

The Cyber Mentor