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Maggie Appleton

The Dark Forest and Generative AI One Developer, Two Dozen Agents, Zero Alignment Gas Town’s Agent Patterns, Design Bottlenecks, and Vibecoding at Scale January 2026 | Maggie Appleton A Treatise on AI Chatbots Undermining the Enlightenment A Brief History & Ethos of the Digital Garden May 2025 | Maggie Appleton Home-Cooked Software and Barefoot Developers Statistically, When Will My Baby Be Born? Speculative Calendar Events ChatGPT Would be a Decent Policy Advisor March 2025 | Maggie Appleton The Expanding Dark Forest and Generative AI Humanity's Last Exam Squish Meets Structure Common Misconceptions in AI Undetected AI Exam Answers Unbaited Smidgeons Growing a Human: The First 30 Weeks How to Import Academic Papers from Zotero into Tana December 2024 | Maggie Appleton Aesthetic Command Lines with Hyper, Spaceship, and Oh My Zsh Leaving Elicit July 2024 | Maggie Appleton A Short History of Bi-Directional Links The Pattern Language of Project Xanadu Assumed Audiences Ambient Co-presence On Opening Essays, Conference Talks, and Jam Jars Spinning Worlds, Seasickness, and Dealing with Vestibular Neuritis A Collection of Design Engineers Gathering Structures Daily Notes Pages Historical Trails December 2023 | Maggie Appleton September 2023 | Maggie Appleton Digital Gardening for Non-Technical Folks Language Model Sketchbook, or Why I Hate Chatbots June 2023 | Maggie Appleton Computational Notebooks Folk Interfaces Reverse Outlining with Language Models Command K Bars Spatial Web Browsing A Picture Worth a Thousand Programmes Programmable Notes Programming Portals Teenage Skeuomorphic Desktop Designs Tending Evergreen Notes in Roam Research Growing the Evergreens Why You Own an iPad and Still Can't Draw A Brief Introduction to Digital Anthropology Transclusion and Transcopyright Dreams The Block-Paved Path to Structured Data Empty Pointers and Constellations of AI Metaphors We Web By The Gift Economy Epistemic Disclosure November 2022 | Maggie Appleton Joining Ought July 2022 | Maggie Appleton The Linear Oppression of Note-taking Apps Paleolithic Nostalgia Interoperable Personal Libraries and Ad Hoc Reading Groups The Finest Narrative Non-Fiction Essays Algorithmic Transparency October 2021 | Maggie Appleton Plebeian Programming with Keyboard Maestro The Cultural Anthropology of React August 2021 | Maggie Appleton Natureculture, Moral Purity, and Cultural Boundaries The Echo & Narcissus Writing Club Pink, Soft, Glittering Developers Fetishism & Mechanical Keyboards Making Programming Visual, Spatial, and Learnable Organic, Local, Artisan Data Storage Positioning Elements & Scrollytelling in CSS Painting Roam Research with Custom CSS A Digital Anthropology Reading List The Eponymous Laws of Programming A History of Cyborgs Neologisms GreenSock Animations with React Hooks The Bare Essentials of Greensock September 2020 | Maggie Appleton Illustrating Gatsby's Key Concepts Problematic Proteins New Harvest & Illustrating the Cultivated Meat Podcast Synecdoche: Drawing the Part for the Whole A Meta-Tour of This Site Douglas, Dirt, and Matter Out of Place The Knowledge Hydrant A Naïve Exploration of Computer-Supported Collaborative Learning Silent Synchronous Reading Sessions What the Fork is React Suspense? Visually Workshopping the AWS Cloud Are Data Unions the Future of Data? Pattern Languages in Programming and Interface Design A Metaphorical Reading Collection
Vibe Code is Legacy Code
Steve Krouse · 2025-08-02 · via Maggie Appleton

A lovely little write-up by my friend Steve Krouse on how vibe code and legacy code are roughly the same thing; “code that nobody understands.”

I particularly like this graph which illustrates the relationship between vibe code and understanding:

A line chart with vibe on the Y axis and understanding on the X axis with a downwards diagonal line

This type of discussion feels helpful in a moment where the term “vibe coding” is being tossed around in vague and unhelpful ways. It rings true to me that it’s a continuous spectrum, and no professional developers are sitting at the all-vibes end of it.

As many have pointed out , not all code written with AI assistance is vibe code. Per the original definition , it’s code written in contexts where you “forget that the code even exists.” Or as the fairly fleshed-out Wikipedia article puts it: ”A key part of the definition of vibe coding is that the user accepts code without full understanding.”

Like many developers, I’m constantly grappling with how much understanding I’m willing to hand over to Cursor or Claude Code. I sincerely try to keep it minimal, or at least have them walk me through the functionality line-by-line if I feel I’m out of my depth. But it’s always easier and faster to YOLO it – an impulse I have to actively keep in check.

Our AI minions are also exceptional tools for learning when you move too far towards the high-vibes-low-understanding end of the spectrum. I particularly like getting Claude to write me targeted exercises to practice new concepts when I get lost in generated functions or fail to implement something correctly sans-AI. Even though doubling-down up on engineering skills sometimes feels like learning to operate a textile loom in 1820.