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How I Use Claude Code | Boris Tane
How I Use Claude Code
Iβve been using Claude Code as my primary development tool for approx 9 months, and the workflow Iβve settled into is radically different from what most people do with AI coding tools. Most developers type a prompt, sometimes use plan mode, fix the errors, repeat. The more term...
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How I built Timeframe, our family e-paper dashboard
TL;DR: Over the past decade, Iβve worked to build the perfect family dashboard system for our home, called Timeframe. Combining calendar, weather, and smart home data, itβs become an important part of our daily lives.
When Caitlin and I got married a decade ago, we set an intention to have a healthy...
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Robotic AI Bear using ChatGPT
The Peek-A-Boo Teddy Bear by GUND is an affordable robotic bear that plays pre-recorded sounds. It has a motorized mouth to simulate talking and motorized arms that can lift a blanket to hide its face.
This guide will show you how to enhance the bear to make it do more than just play 'peek-a-boo' by...
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Seeing like a Bank
The New York Times recently ran a piece on a purported sudden spate of banks closing customer accounts. Little of it is surprising if you have read previous issues of Bits about Money. The reported anecdotal user experiences have a common theme to them. Banks frequently present to their users as not...
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GitHub - travisvn/stop-tahoe-update: Prevent your Mac from "upgrading" to Tahoe. A community-led effort to safely block unwanted macOS upgrades.
A community-led effort to delay, suppress, and safely block unwanted macOS upgrades (e.g. Sequoia β Tahoe).
Safe β’ Transparent β’ Community-driven
Everything here is reversible and off by default.
Apple allows deferring major macOS upgrades (like Sequoia β Tahoe) for up to 90 days using MDM or config...
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Don't use cosine similarity carelessly - Piotr MigdaΕ
Don't use cosine similarity carelessly
14 Jan 2025 | by Piotr MigdaΕ
Midas turned everything he touched into gold. Data scientists turn everything into vectors.
We do it for a reason β as gold is the language of merchants, vectors are the language of AI.
Just as Midas discovered that turning everyth...
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Using an engineering notebook
Using an engineering notebook
Monday, February 9, 2026
One of my core software engineering practices is writing, by hand, in a physical notebook[1]. It's one of the most important things I do to remain productive and effective. Maybe the single most important. And it's a practice that I see very few...
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https://www.fastcompany.com/91488621/this-dunkin-franchisee-is-using-ai-to-track-inventory-and-predict-donut-demand
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The Codex App Changes Everything!!! (not really) | Ben Shoemaker
The Codex App Changes Everything!!! (not really)
The Codex desktop app doesn't change everything - but it's part of a larger trend worth paying attention to. Where IDEs are headed and why specs matter more than code.
No, it doesnβt. The Codex desktop app dropped yesterday. Youβll see breathless Twit...
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On Different Degrees of Smallness
We shall find that in our processes of calculation we have to deal with small quantities of various degrees of smallness.
We shall have also to learn under what circumstances we may consider small quantities to be so minute that we may omit them from consideration. Everything depends upon relative m...
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Python Data Science Handbook
Python Data Science Handbook
Jake VanderPlas
This website contains the full text of the Python Data Science Handbook by Jake VanderPlas; the content is available on GitHub in the form of Jupyter notebooks.
The text is released under the CC-BY-NC-ND license, and code is released under the MIT license...
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Two kinds of AI users are emerging. The gap between them is astonishing.
Two kinds of AI users are emerging. The gap between them is astonishing.
It still shocks me how much difference there is between AI users. I think it explains a lot about the often confusing (to me) coverage in the media about AI and its productivity impact.
I think it's clear there are two types of...
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Understanding LLM Inference Engines: Inside Nano-vLLM (Part 1) - Neutree Blog
Understanding LLM Inference Engines: Inside Nano-vLLM (Part 1)
Architecture, Scheduling, and the Path from Prompt to Token
When deploying large language models in production, the inference engine becomes a critical piece of infrastructure. Every LLM API you use β OpenAI, Claude, DeepSeek β is sittin...
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Introduction to PostgreSQL Indexes
21 minutes
Introduction to PostgreSQL Indexes
Whoβs this for
This text is for developers that have an intuitive knowledge of what database indexes are, but donβt necessarily know how they work internaly, what are the tradeoffs associated with indexes, what are the types of indexes provided by postgr...
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Why AGI Will Not Happen β Tim Dettmers
If you are reading this, you probably have strong opinions about AGI, superintelligence, and the future of AI. Maybe you believe we are on the cusp of a transformative breakthrough. Maybe you are skeptical. This blog post is for those who want to think more carefully about these claims and examine t...
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My first year in sales as a technical founder
My first year in sales as a technical founder
[10-2025 / English / 1917 words]
Update: January 2026 - this post was discussed on HackerNews
Looking back at the last 12 months feels surreal. I have learned so much about selling, itβs insane. As a technical founder with a background in programming and...
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Gas Townβs Agent Patterns, Design Bottlenecks, and Vibecoding at Scale
Table of Contents
Table of Contents
A few weeks ago Steve Yegge published an elaborate manifesto and guide to Gas Town, his Mad-Max-Slow-Horses-Waterworld-etc-themed agent orchestrator that runs dozens of coding agents simultaneously in a metaphorical town of automated activity. Gas Town is entirely...
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How I estimate work as a staff software engineer
How I estimate work as a staff software engineer
Thereβs a kind of polite fiction at the heart of the software industry. It goes something like this:
Estimating how long software projects will take is very hard, but not impossible. A skilled engineering team can, with time and effort, learn how long...
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