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A Head-to-Head Comparison of AI Coding Introduction Over the weekend, I put two leading AI models to the test: Opus 4.5 (using Claude Code) and Kimi 2.5 (using Opencode). The challenge? Build a complete 3D maze runner game from scratch, including maze generation, A* pathfinding, Three.js visualization, and automated testing. Both systems received identical prompts and were timed from start to finish. What followed was a fascinating race that revealed important differences in how these AI systems approach complex coding tasks, handle context windows, and recover from errors. The Challenge Both AI assistants were given the same comprehensive prompt requiring them to build a web-based 3D maze demo with maze generation, 3D visualization, minimap, A* pathfinding, and Playwright tests. The Original Prompt (excerpt) # 3D Maze Runner Demo - Coding Assistant Prompt ## Overview Create a complete web-based 3D maze demo using Three.js as the visualization layer. The application shou...

  Intro I have built my own orchestration framework because most of what I’ve seen was too complex or tried to lock you into creating workflows a certain way. I wanted something very simple and yet maximally flexible. I’m not going into details here on the framework — that’s another blog post — but I will in some cases explain why I could do what I did thanks to the flexibility of the framework, which is a dynamic DAG, can do call-backs, and uses functions and MCP servers. I will also not explain in detail what I’m doing with my current workflow, other than to say I was looking for a way to bypass large language models and instead run it on my own system at home. I succeeded with that — but that’s another blog post. Instead, what I will try to explain in this post is the most important thing after prompt engineering: context engineering, and why it’s so crucial to manage that aspect (especially when you run this at home). Stage setting A couple of weeks ago, Anthropic posted this: ...

TL;DR AI Playground User Guide

My better half is an artist and maintains a Wix.com site. For the second time in two years, Wix decided to raise the hosting fees. That’s when I suggested to my spouse that I could rebuild the website and host it on Firebase (where I host most of my projects). I assumed this wouldn’t be a big deal (I was wrong) and started researching ways to use a lightweight CMS with Firebase support. Such a system exists — it’s called FireCMS — and it’s excellent. Before I dive deeper, here’s her original site (no longer a paid Wix site):  Miyuki's WIX site Her instructions were clear: replicate it as closely as possible. So I went to work. I created a product development document with use cases, scope, screenshots from the original site, the required features, and of course FireCMS integration. I used ChatGPT to draft the document, then set up a new Firebase instance, and finally launched the Vibe Coding agent (Claude Code). The process wasn’t too different from my other projects, but what sur...