About LordK

Hi, I'm LordK. Welcome to my digital workspace.

Currently, my primary focus—and the core mission of this publication—is a comprehensive, step-by-step engineering journey: Building a "Claude Code" CLI Agent from Scratch.

Many tutorials out there will teach you how to wrap an LLM API in a Python script and call it an "Agent." But building an industrial-grade developer tool like Claude Code requires much more than that. It demands rigorous system architecture, relentless performance tuning, and deep Harness Engineering.

In this space, I am documenting exactly what I learn while reverse-engineering and rebuilding this experience from the ground up. I will guide you step-by-step through the entire implementation process, holding nothing back.

Here is what we are tackling together:

• The High-Performance CLI Foundation: Architecting cross-platform binary distribution, lazy-loading, and extreme cold-start optimizations to ensure the tool feels native and instantaneous.
• Harness Engineering: This is the invisible backbone. We will dive deep into building robust execution sandboxes, test harnesses, and evaluation frameworks. How do we safely execute shell commands or code generated by an AI? How do we intercept stdout/stderr, manage persistent file-system state, and build the robust scaffolding that truly harnesses the LLM's chaotic capabilities?
• The Agentic Core: Managing context windows, implementing stateful tool-calling loops, AST parsing, and designing resilient error-recovery mechanisms.

This space is for developers who aren't satisfied with black-box magic. If you want to understand the why behind architectural trade-offs, learn from real-world engineering hurdles, and master the raw mechanics of modern AI developer tooling, you are in the right place.

Let's build this together. >_