Show HN: This guy is smarter that two thirds of (You) (lngnmn2.github.io)

A recent discussion highlights a remarkable shift in the AI landscape, fueled by developments in models like Gemini3. The author, reflecting on their experience, reveals how they rapidly prototyped a long-desired project with substantial functionality in just a short session. While acknowledging that the generated code may contain errors and logical flaws, the ability to bootstrap projects instantaneously signals a significant leap in productivity and innovation for developers. This rapid prototyping capability is significant for the AI/ML community as it underscores the potential of advanced language models to democratize programming, allowing not just seasoned developers but also novices to create meaningful applications. The author emphasizes rigorous coding practices, such as strict data encapsulation and thorough testing, suggesting that even AI-generated code can and should be built with integrity in mind. This blend of AI assistance with solid programming principles could reshape how software is developed, making the coding process more accessible and efficient, though it also raises concerns about quality and reliability in code generated through AI tools.