An analysis of whether startups can be successfully built using AI 'vibe coding'. We explore the current limitations at scale, practical workflows for developers, and the rise of AI-generated 'slop apps' tied to course-selling.
Developers discuss why the decreasing online buzz around React isn't a sign of its decline, but rather its evolution into a stable, ubiquitous, and deeply entrenched tool.
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 how software engineers are truly feeling about AI tools, exploring the deep divide between reported productivity boosts and the frustrating reality of debugging AI-generated 'slop'.
Feeling overwhelmed by the constant stream of AI content? Discover practical strategies and tools to filter the noise and curate a tech feed that aligns with your interests.
Explore the fundamental shifts in datacenter design for AI workloads, from on-site power generation and advanced networking to the specific hardware configurations driving the revolution.
Experienced software engineers discuss the real impact of AI on their careers, offering practical advice on how to adapt, specialize, and find meaning beyond the hype.
Explore the core reasons for skepticism surrounding Large Language Models, moving beyond simplistic explanations to address technical limitations, ethical concerns, and the gap between hype and practical reality.
Discover how tech professionals' perspectives on AI have shifted from initial skepticism to practical application. Learn how they leverage it as a tool for specific coding tasks while remaining cautious about its hype and limitations.
An analysis of whether the AI boom has diminished enthusiasm for human space exploration. Many argue the two are unrelated, viewing both as hype cycles, while others find renewed excitement in robotic missions.