Jamie's Blog

The curious developer's ODYSSEY, Exploring the Universe of TECH, CODE & AI.

What Claude Code's Source Code Taught Me About Building Production AI Agents

A Staff Engineer's deep-dive into Claude Code's source code — the architectural patterns, trust boundaries, and self-healing mechanisms that make a production CLI agent work.

Posted by Jamie Zhang on Monday, May 4, 2026

Self-Hosting Agentic AI: A Deep Dive into the OpenClaw Architecture

An in-depth technical exploration of OpenClaw, an open-source agent runtime. We examine its hub-and-spoke architecture, gateway control plane, and the networking challenges of deploying agentic systems within enterprise VM environments.

Posted by Jamie Zhang on Friday, April 24, 2026

How LLMs Work: An End-to-End Guide from Pre-training to Prediction

A deep dive into the complete lifecycle of a Large Language Model, from pre-training and fine-tuning to the inner workings of the decoder-only transformer architecture during inference.

Posted by Jamie Zhang on Wednesday, February 25, 2026

Stanford CS146S: The Modern Software Developer — A Complete Course Summary

A deep dive into Stanford's CS146S, exploring the shift to AI-native engineering, coding agents, defensive prompting, and the future of software operations.

Posted by Jamie Zhang on Monday, February 23, 2026

The Architectural Evolution of the Java Platform: A Comprehensive Technical Analysis of Versions 8 through 25

A comprehensive technical analysis of Java's architectural evolution from versions 8 to 25, featuring detailed feature comparisons, code examples, architectural insights, and impact on enterprise application design for senior engineers and solution architects.

Posted by Jamie Zhang on Sunday, January 4, 2026

The Complete Guide to Building Agentic AI Systems: From Basics to Production

Master the art of building production-ready agentic AI systems with reflection patterns, tool use, planning, and multi-agent collaboration. A comprehensive guide covering evaluation strategies, error analysis, and optimization techniques.

Posted by Jamie Zhang on Thursday, December 11, 2025

LangChain 1.x Architecture Guide for Tech Leads and Solution Architects

A Production-Ready Blueprint for Building Enterprise AI Agent Solutions.

Posted by Jamie Zhang on Monday, December 8, 2025

Learning Notes: Fine-Tuning Transformer Models

A beginner-friendly guide to fine-tuning transformer models, including practical steps, tips, and common pitfalls.

Posted by Jamie Zhang on Tuesday, September 2, 2025

Understanding Transformer Architecture: The Foundation of Modern AI

A Comprehensive Guide to Attention Mechanisms and How They Power LLMs Like GPT

Learn how Transformer architecture works with clear explanations and visual diagrams. Understand the core concepts behind modern AI models like GPT-4 and GPT-5.

Posted by Jamie Zhang on Sunday, August 31, 2025

Run LLM on Intel Iris Xe GPU Using IEPX-LLM + Ollama

For windows demostration only.

Posted by Jamie Zhang on Saturday, June 15, 2024