The structure of engineering revolutions

The structure of engineering revolutions
22 minutes by John Allsopp

The resistance to AI-assisted software development among experienced software engineers isn’t random or capricious–it follows the pattern Thomas Kuhn identified in scientific revolutions sixty years ago. What we’re witnessing isn’t a tooling debate. It’s a paradigm shift, complete with anomaly denial, incommensurable worldviews, and paradigm defence mechanisms that have played out very similarly in every intellectual revolution Kuhn observed. Understanding this pattern won’t make the transition painless, but it might make it possible.

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Most teams are forced to make the tradeoff between better coverage and more maintenance effort. But top engineering teams like Notion, Dropbox, Wealthsimple and LaunchDarkly have discovered a new testing paradigm. Built by ex-Palantir engineers, Meticulous creates and maintains E2E UI tests that covers every edge case of your web app - without any developer effort, making it the only tool to improve both product quality and dev velocity.

Avoiding a culture of emergencies
6 minutes by Stay Saasy

Good managers create far fewer emergencies than bad ones. They stay deeply informed about their team's work, ask questions before raising alarms, and know what truly matters so they can push back on pointless urgent requests. They also build a strong mental model of their team and industry to see problems coming. Most importantly, they care enough about their team to avoid creating chaos for short-term personal gain.

How to instantly be better at things
10 minutes by Cate Hall

Mimicking skilled people can instantly improve your own performance, tapping into natural human learning instincts that predate conscious reasoning. This works even when imagining a generally confident person rather than a specific expert. Most fields are also less competitive than they appear, meaning the ceiling of human capability is far higher than current top performers suggest. Assuming a much higher standard exists, and working toward it seriously, can produce breakthroughs others consider impossible.

5 ways product discovery breaks down
8 minutes by Itamar Gilad

Product discovery often fails due to systemic issues. Many companies fast-track certain features as "must-haves," bypassing discovery entirely, which starves the process of time and resources. Teams also lack clear, measurable goals, making it hard to evaluate ideas or define success. Fixing both problems requires showing the business value of discovery, building trust through shared evidence, and replacing output-focused roadmaps and goals with outcome-driven ones.

Automate the entire company
3 minutes by Nikhil Basu Trivedi

AI agents are taking over routine work at many companies. Elicit wants to automate its entire operation so the business runs without anyone present. Spotify's top developers haven't written code since December, and Shopify's CEO is shipping more code than ever. Human judgment still matters, but AI is handling more of the day-to-day work across every business function.

And the most popular article from the last issue was:

• Nobody gets promoted for simplicity