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7 posts on prompt-engineeringRSS feed
Loop Engineering: The 4-Phase Process (and Why Prompt Engineering Isn't Dead)
Loop engineering is just prompts stacked on prompts and repeated until a success criteria is met. Here's the 4-phase anatomy, the 4-step maturity path, and the one decision that determines whether your loop works.
Caveman Claude Code Is the New Meta (Here's the Science)
Caveman Claude Code looks like a meme, but research shows brevity constraints boost LLM accuracy by up to 26 points. Here's what it actually saves.
Kling 3.0 Guide: How to Master AI Video Multi-Shots & Prompts
Kling 3.0 isn't just another video model—it's the first step toward real filmmaking with AI. Learn how to use multi-shots, master cinematic vocabulary, and fix common consistency issues.
GSD vs. Ralph Loops: The Better Way to Build Apps with AI
Ralph Loops are powerful, but they fail without a plan. Here is how the GSD framework automates your PRD and context management for better builds.
Context Rot: Why AI Performance Drops in Long Chats (And Fixes)
Context rot is the secret poison killing your AI's coding ability. Here's exactly why LLMs get stupider the longer you chat—and the session management strategies to fix it.
Ralph Loop vs. Ralph Wiggum Plugin: What Actually Works in 2026
The official Ralph Wiggum plugin isn't the real Ralph framework. One uses fresh context windows to stay smart; the other suffers from context rot. Here's how to run the real version.
How to Control AI Video: The Foundational Image Strategy
Most people treat AI video like a lottery—generate and hope. This guide explains how to use a Foundational Image and specific camera terminology to force the AI to execute your exact vision.
