"Code was never the hard part" is an insult to all programmers — Senko Rašić

The Real Reason We Still Need Software Developers in the World of AI

The dream of AI churning out perfect production-ready code doesn’t hold up against the reality of modern software development.

Code Was Never the Asset - The Phoenix Architecture

Why AI makes the hidden economics of software unavoidable

The Git-ification of the World — Tim Morrissey

Why AI conquered software first, and what that tells us about which industries are next.

Why Software Engineering Is Indispensable in the Age of Coding Agents

Can AI make Software Engineering (SE) -- the discipline -- obsolete? And can it make software engineers -- the professionals -- redundant? This paper argues that the rise of capable AI coding...

AI Code Is Producing a Quality Crisis Nobody Wants to Talk About

The productivity numbers look great. AI coding tools are everywhere.

AI is removing the middle class of software engineering

AI makes projects with weak engineering culture fail much faster.

Where Did Software Go Wrong? | Jesse Li

Software is broken, but it's not because of NPM, startups, AI, or venture capitalists. A deep dive into how we think about and produce code, and how our software systems reflect the manic state of the modern world.

Code Is Cheap Now, And That Changes Everything | Pere Villega

AI coding agents have made code production nearly free. Drawing on insights from Kent Beck, Paul Ford, and Simon Willison, this post argues that the value has shifted from writing code to defining systems — contracts, invariants, SLAs, and verification.

The 70% problem: Hard truths about AI-assisted coding

A field guide and why we need to rethink our expectations

Why AI hasn’t replaced software engineers, and won’t

Arvind Narayanan and Sayash Kappor take on the question of AI job losses through the lens of a profession that is uniquely suited to AI disruption - software engineering. In …

Programming as Theory Building: Why Senior Developers Are More Valuable Than Ever

Peter Naur's 1985 theory of programming explains why experience matters more in the age of AI-generated code

The Bitter Lesson: Rethinking How We Build AI Systems

The Race for AI Progress In 2019, Richard Sutton, wrote his groundbreaking essay titled ‘The Bitter Lesson’. Simply put, the essay concludes that systems which get better with higher compute beat the systems that do not. Or specifically in AI: raw computing power consistently wins over intricate human-designed solutions. I used to believe that clever orchestrations and sophisticated rules were the key to building better AI systems. That was a typical sofware dev mentality. You build a system, look for edgecases, cover them and you are good to go. Boy, was I wrong.

Why AI hasn’t replaced software engineers, and won’t

Coding agents as normal technology

Developers say AI coding tools work—and that's precisely what worries them

Ars spoke to several software devs about AI and found enthusiasm tempered by unease.

How StrongDM’s AI team build serious software without even looking at the code

Last week I hinted at a demo I had seen from a team implementing what Dan Shapiro called the Dark Factory level of AI adoption, where no human even looks …