An analysis of why experienced developers change their minds on foundational debates like static vs. dynamic typing, Rust vs. Go, and tabs vs. spaces, moving from dogma to pragmatism.
An analysis of the parallels and differences between the current AI boom and the dot-com bubble of the late 90s. Experts weigh in on whether a crash is imminent and what the future might hold for AI companies and investors.
An analysis of a proposed real-time dating app reveals critical flaws in safety, logistics, and social dynamics that explain why such concepts often fail.
Discover a collection of invaluable 'tricks of the trade' from seasoned professionals, covering everything from writing better documentation and code to making smarter financial decisions and finding a healthier work-life balance.
Planning a move to San Francisco to find a co-founder? This guide covers essential strategies, from creating a tangible portfolio to understanding the local tech culture and managing a tight budget.
Discover the most impactful skills for career growth in tech, from foundational knowledge like networking and Git to critical soft skills like public speaking and pattern recognition.
An analysis of why Usenet, a pioneering decentralized platform, hasn't returned to mainstream use. Explore the key challenges like spam and moderation, and discover modern alternatives like the Fediverse.
Frustrated with sponsored content? Discover practical strategies for finding honest tech reviews, from searching Reddit and the 'Small Web' to critically analyzing Amazon reviews.
An EdTech founder questions selling in Europe due to the EU AI Act's compliance burden, sparking a debate on whether it's an 'innovation tax' or a necessary benchmark for safety in high-risk AI.
An analysis of why Git became the dominant version control system, exploring the crucial roles of GitHub, network effects, and the Linux kernel in Mercurial's decline.