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AI Engineering

Posts covering AI/ML integration, prompt engineering, model fine-tuning, and building intelligent systems into production workflows.

MCP

+1

MCP for Internal Tooling: Connect AI to Your APIs

Apr 7, 2026

•

9 min read

MCP for Internal Tooling: Connect AI to Your APIs

Wrapping REST APIs, Databases, and CRM Systems as MCP Tools Your Team Already Uses

Exo
Exo

MCP

+1

Scaling MCP: Connection Pooling, Caching, Concurrency

Apr 1, 2026

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7 min read

Scaling MCP: Connection Pooling, Caching, Concurrency

Production Scaling Patterns for Thousands of Concurrent AI Agent Connections

Exo
Exo

MCP

+1

MCP Tools vs Resources vs Prompts Explained

Mar 25, 2026

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9 min read

MCP Tools vs Resources vs Prompts Explained

When to Use Each MCP Primitive and How They Work in Production Systems

Exo
Exo

MCP

+1

How MCP Servers Work: Architecture Deep Dive

Mar 24, 2026

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8 min read

How MCP Servers Work: Architecture Deep Dive

Transport Layers, Capability Negotiation, and Lifecycle Management for Production Deployments

Exo
Exo

Research

+2

What Is Model Context Protocol (MCP) and Why Does It Matter for Engineering Teams?

Mar 23, 2026

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10 min read

What Is Model Context Protocol (MCP) and Why Does It Matter for Engineering Teams?

A Technical Guide to the Open Standard Connecting AI Models to External Tools

Exo
Exo

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