Hieu Nguyen

You want your AI agent to query your database, check GitHub PRs, or search Notion docs. Until recently that required a custom integration for every model/tool pair — the classic N×M problem.

Enter the Model Context Protocol (MCP). Introduced by Anthropic in late 2024, MCP is an open standard built on JSON-RPC 2.0 that acts as a universal connector between AI assistants and external data or tools.

In this post, we skip the SDK and build an MCP server from scratch in Go — reading raw JSON-RPC payloads from stdin and writing responses to stdout. This forces you to understand exactly what the protocol requires.

LLMs can reason brilliantly — but they're frozen in time. They don't know what happened last week. They've never seen your company's private database. And when they don't know something, they might confidently make something up.

RAG and AI Agents are the two architectural patterns that solve this. One gives the LLM relevant context. The other gives it the ability to act. Together, they form the backbone of every serious AI product built in 2025.

Google just released Gemma 4 — a family of open-weight models with multimodal input, 256K context, native function calling, and a built-in "thinking mode". Here's everything you need to know, plus a step-by-step guide to running it on your own machine.

Paperclip is an open-source framework that lets you run a team of AI agents like a business — with an org chart, goals, budgets, governance, and a full audit trail. Here's what it is, how it works, and how to set it up.

Most developers learn to write better prompts. The engineers building production AI systems are doing something far more powerful — they're engineering the entire environment around the model.

A plain-English guide to the CAP Theorem — the fundamental trade-off in distributed databases, what happens during networking failures, and why you must choose between consistency and availability.

Automate cloning, checking out, and pulling multiple Git repositories at once using simple bash scripts — plus auto-generating a Maven parent POM for Java projects.

A practical guide to Clean Architecture in Java — with real project structure, layer responsibilities, and a complete Spring Boot example that you can apply to production services.

A practical guide to Go's built-in fuzz testing — how it works, when to use it, and real examples that catch edge cases your regular unit tests would never find.

A practical guide to the Saga pattern for managing distributed transactions across microservices — with Java examples, choreography vs orchestration comparison, and real-world use cases from fintech.