







AI makes projects with weak engineering culture fail much faster.
AI makes weak engineers less harmful
Like other kinds of puzzle-solving, software engineering ability is strongly heavy-tailed. The strongest engineers produce way more useful output than the average, and the weakest engineers often are actively net-negative: instead of moving projects along, they create problems that their colleagues have to spend time solving. That’s why many tech companies try to build a small, ludicrously well-paid team instead of a large team of more average engineers, and why so far this seems to be a winning strategy.

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 …
Why AI hasn’t replaced software engineers, and won’t
Coding agents as normal technology

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.

Software engineering may no longer be a lifetime career
I don’t think there’s compelling evidence that using AI makes you less intelligent overall1. However, it seems pretty obvious that using AI to perform a task means you don’t learn as much about performing that task. Some software engineers think this is a decisive argument against the use of AI. Their argument goes something like this:

Is AI ruining our skills? Early results are in — and they’re not good
Reliance on artificial-intelligence tools degrades the abilities of physicians and software engineers, studies show.

AI is Creating Peak Software, Media is the Best Analogy
Let's learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.

Why AI Makes Things Worse for Enterprise Teams, by Paul Ford
Why are so few engineering teams reaping the benefits of AI? On this week’s episode, Paul presents Rich with the findings from a recent report from CircleCI and

Why the tech industry can't keep up with the AI backlash
AI's externalities are growing faster than the industry can address them

What Actually Happens When Programmers Use AI Is Hilarious, According to a New Study
As AI takes the programming world by storm, experienced devs are still the gold standard — and they're better off without AI assistance, too.

AI Is a Waste of Time
The newest AI tools are accelerating basic research and scaring the general public. But many people are simply using them as toys.
Engineering managers have a new job description
Why engineering managers are expected to be hands-on again and how AI tools are making it possible to stay technically sharp while still leading.


AI Code Is Producing a Quality Crisis Nobody Wants to Talk About
The productivity numbers look great. AI coding tools are everywhere.
AI Is Failing at an Overwhelming Majority of Companies Using It, MIT Study Finds
Recent figures by MIT found that 95 percent of generative AI pilots are failing, with some drastic implications for the spending bubble.

Most Americans say AI development is moving too fast and twice as many are AI pessimists as AI optimists
Young adults are more likely than older Americans to believe that AI will create economic gains that benefit everyone, but they are also more likely to worry that AI will replace jobs they depend upon
