sqlew

LLMs Get Confused by "Everything at Once": Good Prompts Still Matter in 2026

Have you ever noticed that the more detail you pack into a prompt, the less reliable the AI's output becomes? You carefully elaborate specifications, list every…

sqlew's Context Persistence Architecture

One of the fundamental challenges facing AI coding agents is context loss. LLMs lose memory across sessions — design decisions agreed upon yesterday, library se…

108,000 Lines of Code, 26,000 Lines of Docs: The Maintenance Reality of AI Agent "External Memory"

In February 2026, independent researcher Aristidis Vasilopoulos published "Codified Context: Infrastructure for AI Agents in a Complex Codebase." AI c…

What Is Context Engineering?

If you've ever used AI coding tools and felt that no matter how you refine your prompts, the AI still doesn't quite do what you want — you're not alone. Writing…

Why AI Coding Review Takes Longer: What's Happening Behind 10x Faster Implementation

Adopting a coding agent makes development faster. That's not wrong per se. Looking at implementation speed alone, 10x or more compared to hand-written code isn'…

Is Loading Everything into CLAUDE.md Really the Best Practice?

Project rules, architecture overviews, style guides, tool configurations — it's tempting to dump everything into CLAUDE.md, thinking "the AI will read it a…