I believe in the Festivus School of prompt engineering, which says all prompts used in production naturally iterate toward an airing of grievances—a list of all the ways the model has disappointed you in the past year.
PROMPT ENGINEERING
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Thai Post Explores Generative AI: Poop Car, Bananas, and Shocking Prompts
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I’m at in in-laws in Jeonju, Korea. This is their view. Not bad, not bad.
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Marc Andreessen Still Hasn’t Learned LLMs Ignore System Prompts
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Hilarious (and maybe a little bit scary) that even in 2026 Marc Andreessen still hasn’t learned that LLMs don’t know how to reliably follow system prompts.
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We thought we learned AI, but we just learned natural language coding
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We all thought we learned how to use AI Turns out we just learned how to code in natural language
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Local LLMs Web Stack Setup With SearXNG Firecrawl and Camofox
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PRO TIP Using local LLMs? Give them a web stack My setup: – SearXNG: candidate source discovery – Firecrawl: known-URL scraping and crawling – Camofox: browser fallback when JS/interaction gets annoying Search → Extract → Interact Tell your favorite agent to set this up,
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AI Agent Drifts From Instructions After a Few Days
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Mostly instructing it to do things on a schedule and then it drifting further and further away from what it was instructed to do. Like it will follow instructions for a day or two and then seemingly forget what was instructed a few days prior.
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Model personality swap creates perfect planner-executor combo
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The models swapped personalities this month. Opus 4.7 got more rigid and precise. GPT-5.5 got more natural and conversational. That's not a bug. That's why this combo works. One model became the perfect planner. The other became the perfect executor. Use them for what
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Opus outlines, GPT-5.5 drafts and executes
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This works beyond coding. Content strategy: use Opus to outline the argument structure. Use GPT-5.5 to draft. Research: use Opus to design the research methodology. Use GPT-5.5 to execute the analysis. Business planning: use Opus to define the framework. Use GPT-5.5 to
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External plans boost GPT-5.5’s confidence and productivity
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Step 3: Let GPT-5.5 run. It will work through the plan methodically. The key insight: GPT-5.5 is more confident when given explicit instructions from an external plan than when it generates its own. It stops second-guessing. It stops being lazy. It builds.
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Codebase analysis and rewrite planning with Claude Opus 4.7
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The exact workflow: Step 1: Open Claude. Select Opus 4.7. Prompt:
"Analyze this codebase. Write a detailed rewrite plan from first principles. Include exact file structure, line limits per file, and architectural decisions. Do not write any code. Plan only."