Forem

Patrick Chan profile picture

Patrick Chan Subscriber

Co-Founder and CTO of Gentoro. Vast experience in building scalable, high-performance data products. Founding team for Java at Sun Microsystems with previous experience at Verizon, Yahoo, Twitter.

Location Palo Alto, California Joined Joined on  Personal website https://gentoro.com

Education

University of British Columbia (BSc), University of Waterloo (MSc)

Pronouns

He/Him

Work

Co-founder and CTO of Gentoro

Why Traditional Regression Testing Doesn’t Work for MCP Tools
Cover image for Why Traditional Regression Testing Doesn’t Work for MCP Tools

Why Traditional Regression Testing Doesn’t Work for MCP Tools

1
Comments
4 min read

Want to connect with Patrick Chan?

Create an account to connect with Patrick Chan. You can also sign in below to proceed if you already have an account.

Already have an account? Sign in
How MCP Leverages OAuth 2.1 and RFC 9728 for Authorization
Cover image for How MCP Leverages OAuth 2.1 and RFC 9728 for Authorization

How MCP Leverages OAuth 2.1 and RFC 9728 for Authorization

3
Comments
4 min read
Turn Your OpenAPI Specs Into Agentic Tools—Instantly
Cover image for Turn Your OpenAPI Specs Into Agentic Tools—Instantly

Turn Your OpenAPI Specs Into Agentic Tools—Instantly

1
Comments
5 min read
Navigating the Expanding Landscape of AI Applications
Cover image for Navigating the Expanding Landscape of AI Applications

Navigating the Expanding Landscape of AI Applications

1
Comments
5 min read
What Are Agentic AI Tools?

What Are Agentic AI Tools?

6
Comments 3
6 min read
LangChain: From Chains to Threads

LangChain: From Chains to Threads

1
Comments
5 min read
Vibe Coding: The New Way We Create and Interact with Technology
Cover image for Vibe Coding: The New Way We Create and Interact with Technology

Vibe Coding: The New Way We Create and Interact with Technology

2
Comments
7 min read
LLM Function-Calling Performance: API- vs User-Aligned
Cover image for LLM Function-Calling Performance: API- vs User-Aligned

LLM Function-Calling Performance: API- vs User-Aligned

12
Comments
7 min read
Using MCP Server to Integrate LLMs into Your Systems
Cover image for Using MCP Server to Integrate LLMs into Your Systems

Using MCP Server to Integrate LLMs into Your Systems

5
Comments
3 min read
Building Bridges: Connecting LLMs with Enterprise Systems
Cover image for Building Bridges: Connecting LLMs with Enterprise Systems

Building Bridges: Connecting LLMs with Enterprise Systems

Comments
6 min read
AI and the Monkey’s Paw: Why SaaS Will Endure

AI and the Monkey’s Paw: Why SaaS Will Endure

5
Comments
3 min read
Simplifying Data Extraction with OpenAI JSON Mode and JSON Schemas
Cover image for Simplifying Data Extraction with OpenAI JSON Mode and JSON Schemas

Simplifying Data Extraction with OpenAI JSON Mode and JSON Schemas

Comments
3 min read
Why Function-Calling GenAI Must Be Built by AI, Not Manually Coded
Cover image for Why Function-Calling GenAI Must Be Built by AI, Not Manually Coded

Why Function-Calling GenAI Must Be Built by AI, Not Manually Coded

Comments
5 min read
Does Model Context Protocol (MCP) Spell the Death of RAG?
Cover image for Does Model Context Protocol (MCP) Spell the Death of RAG?

Does Model Context Protocol (MCP) Spell the Death of RAG?

7
Comments 3
4 min read
Function-Calling vs. Model Context Protocol (MCP)
Cover image for Function-Calling vs. Model Context Protocol (MCP)

Function-Calling vs. Model Context Protocol (MCP)

5
Comments
3 min read
User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy
Cover image for User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy

User-Aligned Functions to Improve LLM-to-API Function-Calling Accuracy

Comments
11 min read
Function-based RAG: Extending LLMs Beyond Static Knowledge Bases
Cover image for Function-based RAG: Extending LLMs Beyond Static Knowledge Bases

Function-based RAG: Extending LLMs Beyond Static Knowledge Bases

5
Comments
15 min read
loading...