by gergely-orosz
Software engineering is undergoing a printing-press moment: coding as a gatekept craft is dissolving, generalists who ship prototypes and adapt weekly to new model capabilities will define the next era.
by gergely-orosz
Every major abstraction shift in software engineering has triggered the same existential crisis among developers, and each time the industry expanded rather than contracted — the current AI shift is no different.
by jeffrey-way
Jeffrey Way declares he's done lamenting AI's disruption to coding—after experiencing layoffs at Laracasts due to AI, he's found more joy programming than ever by embracing agents as pair programmers while maintaining code ownership.
by cynthia-dunlop
Publishing imperfect work beats endless revision—lowering your standards is the key to consistent technical blogging that builds career opportunities and professional influence.
by geoffrey-huntley
Understanding how coding agents work—tool calls, inferencing loops, the basic primitives—is now baseline knowledge for software engineering interviews, not optional curiosity.
by sarah-drasner
A practical guide to engineering management focused on empathy, trust, and supporting your team—written for those who didn't plan to become managers.
by ryan-peterman, boris-cherny
Boris Cherny, creator of Claude Code and former Meta principal engineer, shares how side projects, generalist thinking, and cross-org navigation shaped his career—plus insights on how AI tools are reshaping engineering productivity.
by joe-rogan
Naval shares his principles for building wealth without getting lucky, finding happiness as a skill, and why the future of work means everyone becomes an entrepreneur.
by melkey
YouTube tech content has shifted from tutorials and crash courses to entertainment and commentary, with creators who once had millions of views on educational content now making opinion pieces instead.
by lee-robinson
The frontend/backend divide is fading. Product Engineers work backwards from user experience to technology, shipping iteratively and staying close to customers.
by alexander-opalic
AI accelerates routine tasks but lacks architectural judgment—the future belongs to high-agency generalists who identify problems and drive solutions without waiting for direction.
by zdfheute-nachrichten
German graduates face unprecedented job market challenges as AI disrupts traditional career paths and industries transform, creating a paradox where half a million positions remain unfilled while qualified candidates struggle.
by aaron-francis
Sharing work publicly expands opportunity through the Luck Surface Area formula: Luck = Doing Things × Telling People.
by seth-godin
Strategic quitting beats stubborn persistence. Winners quit the right things at the right time to focus resources on pursuits where they can be the best in the world.
by geoffrey-huntley
Software developers who fail to adopt AI tools will experience natural attrition—not mass layoffs—as their peers achieve 16x productivity gains and redefine baseline performance expectations.
by cal-newport
Focused, distraction-free work produces elite results—master it through deliberate practice and strict routines.
by kent-beck
Kent Beck argues that AI has devalued 90% of traditional skills while giving the remaining 10% a 1000x leverage boost.