The Implementation Trap If you’ve followed the first three posts of the SDD Protocol, you have a solid Constitution, a Grounded Blueprint, and a set of Audited Atomic Tasks (T-xxx). You are now ready to produce code. But here is where many developers fall back into old habits. They see the AI generating beautiful, clean … Read more
The Invisible Limit: Model Fatigue In the era of 2026, LLMs have multi-million token context windows. On paper, it seems we could feed an entire codebase and a 100-page PRD into a single prompt and get a perfect result. In practice, however, we encounter Model Fatigue (often referred to as ‘In-Context Poisoning’). The more information … Read more
The Crisis of the “Vibe” In early 2024, the tech world was captivated by the promise of “Vibe Coding.” The premise was deceptively simple: open a conversational interface, describe a feature in natural language, and watch as an AI agent generates hundreds of lines of functional code. For a moment, we believed that the era … Read more
The Fallacy of the Single Prompt In the early days of AI coding, the “Single Prompt” was the holy grail. We dreamed of a world where we could describe an entire application, hit enter, and receive a ZIP file of a finished product. While modern LLMs have the context windows to attempt this, the result … Read more
**Strategic Summary:** “Code is no longer written; it is directed.” In this series finale, we recap the 72-hour journey of building the **US Market Analyzer**, reveal the full source code, and explore the vision of the **Solo Quant**—a single expert leading an army of AI agents to dominate the newinference era. 1. The Retrospective: A … Read more
**Strategic Summary:** Trust is the most expensive asset in finance. When building with AI, how do you know the code is safe? In this part, we explore the **Fortress Protocol**—my rigorous verification framework designed to catch AI hallucinations and ensure your digital infrastructure is built like a vault. 1. The Strategy: Defense-in-Depth for AI Code … Read more