A 26-year-old software engineer at a non-FAANG company expresses concern about AI replacing their job and seeks advice on alternative career paths, expense reduction strategies, and optimistic perspectives from others facing similar uncertainty.
A software engineer seeks career advice on alternative job titles, arguing that traditional developer roles may become commoditized as code generation becomes cheaper and more accessible.
A software developer announces they will not use AI professionally, criticizing the AI industry as dehumanizing and designed to commoditize labor. They plan to continue building websites for clients while distancing themselves from peers invested in AI, and are moving toward other interests like detective fiction.
A senior engineer advises beginners to avoid risky political stances, focus on being useful and conscientious, stay pragmatic about their limited bargaining power, and adapt to the current era of AI and reduced job security—rather than following outdated advice from the loose-money ZIRP era.
Developers should learn design disciplines to differentiate themselves in an AI-dominated job market. The author argues that combining coding with design skills—user experience, typography, and visual aesthetics—creates unique value that LLMs cannot replicate, offering both job security and creative fulfillment.
A senior engineer advises beginners to avoid political conflicts, stay practical about their limited bargaining power, and focus on being conscientious and helpful rather than taking risks. The author argues that much current advice is outdated from the low-interest-rate era and ill-suited to junior engineers who lack leverage.
A personal essay explores how the AI industry boom is straining marriages, particularly in the Bay Area, where husbands obsessed with AI careers neglect family life while wives shoulder domestic responsibilities and feel isolated by the tech-dominated culture around them.
A software developer reflects on how LLMs are disrupting career defensibility across industries, drawing parallels to how drum machines challenged musicians. They argue that human imperfection and intention matter fundamentally—what moves us is the humanity behind creation—and hope there remains room for individual creative work even as AI capabilities expand.
EA Sports FC 27 refines gameplay with improved defensive mechanics and new features like The Grounds open-world mode and Ultimate Team Gallery, though these additions feel incremental rather than transformative. The game rewards player skill in build-up play and passing but struggles with occasional AI inconsistencies and a less ambitious open-world experience compared to competitors.
A software developer reflects on their evolving career identity, lamenting the industry's shift away from low-level programming and detailed technical work toward high-level architecture design. The author describes their deep passion for understanding machine internals, optimization, and the foundational details of computing, and expresses concern that opportunities to apply these skills are diminishing as the field prioritizes abstraction and rapid development.
An engineer reflects on learning that influence requires more than technical correctness—it demands understanding people's beliefs, values, and context, then advocating skillfully. The author shares insights from speaking at LDX3 and invites readers to a workshop on building influence beyond technical expertise.
An essay exploring characteristics of exceptionally talented individuals, citing Patrick Collison, Sam Altman, and Tyler Cowen as examples. The author lists behavioral and cognitive traits observed in high-performing people, including fearlessness, clarity of thought, rapid learning, and willingness to pursue unconventional paths.