Finds · Books, Talks & Tools Worth Your Time

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A small library of things worth your time.

Books, talks, and tools I keep coming back to and recommending to my colleagues and students.

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Digital Archaeology

Cleverbot

Rollo Carpenter
04. Jun 2026

That's how chatbots were when the world was simpler.

Book

Show your Work

Austin Kleon
31. Mai 2026

This book has shaped modern creator and developer culture like almost no other book. It takes away the fear of the 'perfect product' and shows why it is much cooler (and more successful) to openly share your daily learning process online.

Reads

Various LLM smells

Shiv Bhosale
May 29, 2026

An interesting look at the typical, recurring patterns ('smells') of AI-generated content. From certain sentence structures in writing to always identical design elements on websites.

Reads

Nobody cares about your blog.

Alex Molas
May 26, 2026

A short, honest post about why nobody reads your blog and why you should keep writing anyway.

Reads

Choose Boring Technology

Dan McKinley
May 25, 2026

An absolutely timeless essay that coined the concept of “innovation tokens.” It brilliantly explains why, in real production operations, you should rather rely on boring, proven technology instead of chasing every hype.

Tool

highlight.js

highlightjs.org
May 24, 2026

An extremely practical tool to cleanly format program code for presentations (e.g., in PowerPoint) and provide it with syntax highlighting.

Talk

The Mess We're In

Joe Armstrong
May 23, 2026

A brilliant talk by the creator of Erlang. With plenty of charm, he dissects the absurd complexity of modern software stacks and explains why we are sitting on a house of cards made of misunderstood code.

Resource

FizzBuzz Enterprise Edition

Emil Holm Nauerby, Mikael Kragbæk
May 22, 2026

A legendary masterclass in over-engineering. It’s a hilarious, satirical look at what happens when you apply every corporate software pattern imaginable to a 10-line coding challenge.

Reads

AI slop? What about human slop?

Ajay Kumar
May 21, 2026

A critical essay arguing that bad and messy code ('slop') is not an invention of AI models, but has always been a human problem, and how to solve it.

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