artificial intelligence

A “brief” accounting of various reasons why vibe coding has just never clicked for me personally as a developer.

Right now, it's too easy to let AI write the code while you skip the learning. The bug gets fixed. Your mental model doesn't move. We are silently trading fu...

TL;DR. Claude would rather reinvent the wheel than pip install one.

Vercel Security Checkpoint

ai is here. so i'm spending 3 months coding the old way

Does AI-assisted cognition threaten human development? Explore the risks of AI-assisted thinking and learn strategies to use AI tools without freezing your critical thinking.

Read about the .

Our tales of AI developing the will to survive, commandeer resources, and manipulate people say more about us than they do about language models.

The push to replace software engineers isn't always a technical prediction. Sometimes it's a reaction to the leverage we hold.

AWS has suffered at least two incidents linked to the use of AI coding assistants.

Is your vibe-coded app a Crapject or a Gift?

You're absolutely right!

Agents write units of changes that look good in isolation. They are consistent with themselves and your prompt. But respect for the whole, there is not.

I asked Claude Code to remove Jquery. It failed miserably. - Thursday, 12 February 2026 - Alex's blog'

We're not in a February 2020 moment, and ordinary people will be fine

As software development shifts from requiring specialized skills—built on multiple layers of technical understanding—to describing intent in plain English (or your language of choice), the act of producing software appears to become accessible to a much wider audience. The people best positioned to excel may not be well versed in software at all, but rather those who are good at expressing ideas clearly, thinking iteratively, and breaking problems down.

Instead of wanting to learn and improve as humans, and build better software, we’ve outsourced our mistakes to an unthinking algorithm.

A friend of mine recently attended an open forum panel about how engineering orgs can better support their engineers. The themes that came up were not surprising:

A reflective essay exploring how classic LLM failure modes---limited context, overgeneration, poor generalization, and hallucination---are increasingly recognizable in everyday human conversation.