Simply throwing a massive spec at an AI agent doesn’t work—context window limits and the model’s “attention budget” get in the way.

Apparently writing code is cheap now. So since the barrier to producing code is gone, the intent behind the code is the most important bit.

AI agents didn’t make the SDLC faster. They killed it. All that’s left is context.

AI agents generate 98% more PRs but reviews take 91% longer. The work didn’t disappear — it moved.

That lost identity was "computer programmer" and it was arguably one of the biggest.

AI-generated codebases are at risk of falling into a state where nobody knows how they work.

Agentic Engineering is a disciplined approach to AI-assisted software development that emphasizes human oversight and engineering rigor.

The best places I’ve worked were filled with shared trust and treated bugs as a joined responsibility of everyone.

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

Whenever logical processes of thought are employed there is an opportunity for the machine.

On agent orchestration patterns, why design and critical thinking are the new bottlenecks, and whether we should let go of looking at code.

AI coding tools amplify whatever they can access. In codebases where institutional knowledge lives in engineers’ heads only, AI amplifies nothing.

Companies are ditching junior engineers en masse. They’ll tell you it’s because AI writes better code. They’re right...but also missing the point.

You're shaping the code or text the way a potter shapes clay: push a little, spin the wheel, look, push again.

How Claude Code is showing us what apps may become.

Clothes have never been cheaper. Same thing is happening with software.

Lessons learned from 14 years of engineering at Google, focusing on what truly matters beyond just writing great code.

A hands-on program for designers and PMs who want to actually build—using Cursor, Supabase, Vercel, and AI-first workflows.

AI coding is making available paths of production which are cheaper, faster, and increasingly disconnected from the expertise of humans.

Programming with AI is still in its infancy, and yet it has already redefined what programming will be about in the immediate future.