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.
An analysis of why many skilled software developers are hesitant to adopt AI coding assistants, citing concerns over code quality, long-term maintainability, and the nature of their work.
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'.
The term 'vibe coding' has emerged to describe AI-assisted programming, but what does it really mean? Explore the debate between relying on AI intuition and using structured, specification-driven approaches for maximum productivity.
Developers are using AI to code faster, but promotions and profits remain elusive. This analysis explores why individual productivity gains aren't translating into career advancement and who is truly benefiting from the AI revolution.
When management mandates AI use, is quitting the only option for discerning professionals? This analysis explores the debate and offers a strategic approach to adapt, learn, and integrate AI on your own terms.
A Hacker News discussion explores why many programmers still prefer 'old-fashioned' coding without LLMs, citing joy, understanding, and learning concerns. Is AI-free coding obsolete or essential?
Discover how Python is used in large-scale production systems beyond ML/AI, including web backends and data engineering, and learn about the trade-offs and best practices for success.
A Hacker News discussion explores developers' attachment to manual coding and craftsmanship in an era of AI, debating how to balance personal satisfaction with productivity tools and whether deep understanding remains crucial.