Jamie's Blog

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

Surviving the Shift: What Stanford's CS146S Taught Me About Staying Relevant as a Staff Engineer

A staff engineer's reflection on Stanford's CS146S, exploring how AI agents are reshaping technical leadership, the shift from execution to specification, and the critical skills needed to thrive in an AI-native future.

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.

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.

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.

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

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

Learning Notes: Fine-Tuning Transformer Models

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

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.

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

For windows demostration only.