Gursharan Singh

Staff Software Engineer with 15+ years in enterprise systems. Currently writing about AI engineering: MCP, RAG, and AI Agents. Pattern over product. Engineer-to-engineer.

USA Joined on Aug 31, 2024 https://github.com/gursharanmakol

Gursharan Singh

Apr 28

RAG in Practice — Part 8: RAG in Production — What Breaks After Launch

#rag #ai #architecture #webdev

13 min read

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Gursharan Singh

Apr 24

RAG in Practice — Part 7: Your RAG System Is Wrong. Here's How to Find Out Why.

#rag #ai #architecture #webdev

11 min read

Gursharan Singh

Apr 21

RAG in Practice — Part 6: RAG, Fine-Tuning, or Long Context?

#rag #ai #architecture #webdev

9 min read

Gursharan Singh

Apr 18

RAG in Practice — Part 5: Build a RAG System in Practice

#rag #ai #architecture #webdev

13 min read

Gursharan Singh

Apr 16

AI in Practice

#ai #architecture #webdev #rag

3 min read

Gursharan Singh

Apr 16

RAG in Practice — Part 4: Chunking, Retrieval, and the Decisions That Break RAG

#rag #ai #architecture #webdev

9 min read

Gursharan Singh

Apr 12

MCP in Practice — Part 9: From Concepts to a Hands-On Example

#mcp #ai #architecture #webdev

7 min read

Gursharan Singh

Apr 10

MCP in Practice — Part 8: Your MCP Server Is Authenticated. It Is Not Safe Yet.

#mcp #ai #architecture #webdev

9 min read

Gursharan Singh

Apr 9

MCP in Practice — Part 7: MCP Transport and Auth in Practice

#mcp #ai #architecture #webdev

7 min read

Gursharan Singh

Apr 8

MCP in Practice — Part 6: Your MCP Server Worked Locally. What Changes in Production?

#mcp #ai #architecture #webdev

8 min read

Gursharan Singh

Apr 5

RAG in Practice — Read from the beginning

#rag #ai #architecture #webdev

2 min read

Gursharan Singh

Apr 5

MCP in Practice — Read from the beginning

#mcp #ai #architecture #webdev

2 min read

Gursharan Singh

Apr 4

RAG in Practice — Part 3: How RAG Works — The Complete Pipeline

#rag #ai #architecture #webdev

9 min read

Gursharan Singh

Apr 2

RAG in Practice — Part 2: What RAG Is and Why It Works

#rag #ai #architecture #webdev

5 min read

Gursharan Singh

Apr 2

RAG in Practice — Part 1: Why AI Gets Things Wrong

#rag #ai #architecture #webdev

4 min read

Gursharan Singh

Mar 28

MCP in Practice — Part 5: Build Your First MCP Server (and Client)

#mcp #ai #python #backend

11 min read

Gursharan Singh

Mar 26

MCP in Practice — Part 4: MCP vs Everything Else

#mcp #ai #systemdesign #backend

5 min read

Gursharan Singh

Mar 25

MCP in Practice — Part 3: How MCP Works — The Complete Request Flow

#mcp #ai #systemdesign #llm

7 min read

Gursharan Singh

Mar 23

MCP in Practice — Part 2: What MCP Is and How AI Agents Connect

#mcp #ai #llm #backend

7 min read

Gursharan Singh

Mar 22

MCP in Practice — Part 1: Why Connecting AI to Real Systems Is Still Hard

#mcp #ai #llm #architecture

6 min read

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RAG in Practice — Part 8: RAG in Production — What Breaks After Launch

Want to connect with Gursharan Singh?

RAG in Practice — Part 7: Your RAG System Is Wrong. Here's How to Find Out Why.

RAG in Practice — Part 6: RAG, Fine-Tuning, or Long Context?

RAG in Practice — Part 5: Build a RAG System in Practice

AI in Practice

RAG in Practice — Part 4: Chunking, Retrieval, and the Decisions That Break RAG

MCP in Practice — Part 9: From Concepts to a Hands-On Example

MCP in Practice — Part 8: Your MCP Server Is Authenticated. It Is Not Safe Yet.

MCP in Practice — Part 7: MCP Transport and Auth in Practice

MCP in Practice — Part 6: Your MCP Server Worked Locally. What Changes in Production?

RAG in Practice — Read from the beginning

MCP in Practice — Read from the beginning

RAG in Practice — Part 3: How RAG Works — The Complete Pipeline

RAG in Practice — Part 2: What RAG Is and Why It Works

RAG in Practice — Part 1: Why AI Gets Things Wrong

MCP in Practice — Part 5: Build Your First MCP Server (and Client)

MCP in Practice — Part 4: MCP vs Everything Else

MCP in Practice — Part 3: How MCP Works — The Complete Request Flow

MCP in Practice — Part 2: What MCP Is and How AI Agents Connect

MCP in Practice — Part 1: Why Connecting AI to Real Systems Is Still Hard