AI
Understanding
Industry Analysis / Field Reports
How much faster can coding assistants really make software delivery? | Thoughtworks
More AI, More Problems for Software Developers in 2025 - The New Stack
What CTOs and tech leaders are observing about GenAI in software development | Rob Bowley
DORA: AI boosting productivity, hindering delivery | Zarar’s blog
Developer Productivity in 2025: More AI, but Mixed Results - The New Stack
All the Hard Stuff Nobody Talks About when Building Products with LLMs
How I Use AI: Meet My Promptly Hired Model Intern | Armin Ronacher’s Thoughts and Writings
Vibe coding for teams, thoughts to date | Kellan Elliott-McCrea: Blog
Why we built our own AI tooling suite | Building with AI | incident.io
The Agency, Control, Reliability (ACR) Tradeoff for Agents - /research
Optimizing Personal Productivity with AI: A Leader’s Guide - Barry O’Reilly
Augmented engineering: learnings of an AI skeptic - Jack Franklin
A Field Guide to Rapidly Improving AI Products – Hamel’s Blog
LLMs Are Kryptonite for Legacy Code (But Don’t Let Them Touch It) | the scapegoat dev
LLM Inference Performance Engineering: Best Practices | Databricks Blog
Talk
Revenge of the junior developer | Sourcegraph Blog
“Junior devs are vibing. They get it. The world is changing, and you have to adapt. So they adapt! Whereas senior developers are, well… struggling, to put it gently.”
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“You’re not “working smarter” because you asked Claude to write your email thirty seconds faster. That’s not innovation—it’s intellectual laziness dressed up in a productivity metric. The real value of using this technology shows up when you actually think with it. When you use it to pressure-test your assumptions, push your thinking into unfamiliar territory, model decisions before you make them. But that requires effort. And most teams don’t want effort. They want shortcuts. They want vending machine magic.”
Your CEO Just Said ‘Use AI or Else.’ Here’s What to Do Next.
The real threat isn’t AI—it’s the discourse surrounding it · Josh Nesbitt
Why I think AI take-off is relatively slow - Marginal REVOLUTION
How to navigate your engineering team through the generative AI hype | VentureBeat
To grow, we must forget… but now AI remembers everything | UX Collective
AI use damages professional reputation, study suggests - Ars Technica
I Will Fucking Piledrive You If You Mention AI Again — Ludicity
Tools
chonkie-inc/chonkie: 🦛 CHONK your texts with Chonkie ✨ - The no-nonsense RAG chunking library
llm, ttok and strip-tags—CLI tools for working with ChatGPT and other LLMs
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“a framework for large language model evaluations created by the UK AI Security Institute”
Dentrax/falco-gpt: AI-generated remediations for Falco audit events
Misc
An AI invented a bunch of new paint colors that are hilariously wrong
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A 2018 article initially focussing on Alexa as “AI”, it’s still an interesting set of thoughts and predictions
“A dataset may still be publicly owned, but the meta-value of the data – the model created by it – is privately owned. While there are many good reasons to seek to improve public health, there is a real risk if it comes at the cost of a stealth privatization of public medical services. That is a future where expert local human labor in the public system is augmented and sometimes replaced with centralized, privately-owned corporate AI systems, that are using public data to generate enormous wealth for the very few.”
How to recognize fake AI-generated images
2018-era techniques, but still an interesting snapshot, and a reminder of progress
Crypto collapse? Get in loser, we’re pivoting to AI – Attack of the 50 Foot Blockchain