artificial intelligence

fragments 18 Feb 2026

You're absolutely right!

Test and harden your AI prompts with our intelligent fuzzer. This free fuzzing engine uses evolutionary fuzzing techniques to identify vulnerabilities and improve AI app security.

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.

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:

My experience adopting any meaningful tool is that I've necessarily gone through three phases: (1) a period of inefficiency (2) a period of adequacy, then finally (3) a period of workflow and life-altering discovery.

Second brain for everyone who just can't get by with one - benjaminshoemaker/notes_brain

A short intro for designers on making interactive SVGs with AI help.

We're barely a week into 2026, and tech Twitter is already ablaze with discussion of the "Ralph...

Hey you, Yes, you, who are thinking about not hiring a technical writer this year or, worse, erased one or more technical writing positions last year because of AI. You, who are buying into the promise of docs entirely authored by LLMs without expert oversight or guidance. You, who unloaded the weight of docs on your devs’ shoulders, as if it was a trivial chore. You are making a big mistake. But you can still undo the damage.

TL;DR  Introduction  I first encountered the chatbot as a normal Eurostar customer while planning a trip. When it opened, it clearly told me that “the answers in this chatbot are generated by AI”, which is good disclosure but immediately raised my curiosity about how it worked and what its limits were. Eurostar publishes a […]

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

The barrier to entry for building software has collapsed. The barrier to building something that matters hasn’t moved an inch.

Do we still need libraries of 3rd party code when AI agents are this good?