I experienced a week of Vibe coding and built an AI-powered RSS aggregation and reading website to replace the previous paid app that was not a good experience. It’s quite satisfying. However, during this process, I also gained a new understanding of Vibe Coding as a “disenchantment,” and I’d like to share:

1) Vibe Coding is essentially an efficiency tool, a multiplier rather than an additive. For “super individuals” who already have product thinking, logical skills, and even some programming foundation, it can turn one person into a team, greatly expanding capability boundaries.

But at its core, it’s just an enhanced skill, not a survival skill. Understanding Vibe Coding doesn’t mean you can instantly transform from an ordinary small job to a high-level executive earning millions annually. Not knowing Vibe Coding doesn’t necessarily mean you’ll be abandoned by the times.

2) Vibe Coding only lowers the barrier to entry but doesn’t increase the upper limit of ability. For example, in developing an RSS reader, the initial phase is “wow,” as a single command can produce a usable interface. But adding complex features later becomes troublesome.

For instance, detecting RSS source health automatically, deduplicating data, or connecting to backend storage and optimizing structure will reveal a bunch of seemingly professional but obviously buggy issues. AI will jump between several seemingly complex but actually unsolvable solutions, burning your tokens. In the end, experienced programmers can solve these with just a few lines of code and some environment setup.

3) The tool iteration of Vibe Coding is very fast. There’s no need to invest heavily in learning; initially, copying and pasting code for AI processing, and now IDEs directly embedding AI into the interface, suggest that future front-end, back-end, and environment configuration tasks might become foolproof.

If you learn to write precise prompts and some practical skills at a certain stage, a major platform update could render those skills useless.

4) Vibe Coding is not a savior for many people; it might even become a crisis. After completing this RSS project, I started to dislike its reading experience—how often RSS sources update, what to do if they become invalid, how much of the original details to keep in AI summaries, how to sort content from multiple sources, and how to improve my reading experience. Turns out, these issues are almost unrelated to coding skills and require a clearer understanding of product design and aesthetics.

There’s a saying: when code generation costs approach zero, the value of code itself also approaches zero. The real key to success lies in product taste and logical closed-loop capabilities. Truly valuable programmers in the future will be a combination of product managers, architects, and designers. The era of solely relying on coding to make a living may really be over.

5) Vibe Coding in the crypto field is a double-edged sword. The benefit is that native crypto enthusiasts’ learning ability and research motivation allow them to quickly master this skill, build data analysis platforms, analyze trades independently, and experiment with AI trading logic. But it also attracts many who don’t understand blockchain fundamentals, leading to a flood of superficial, potentially risky code generated by AI.

That’s all.

Finally, I want to say that Vibe Coding is not revolutionary; it’s fundamentally an efficiency tool. The same principle applies as with Excel macros, Photoshop actions, or Notion templates over the years: those who understand it can double their efficiency, while those who don’t aren’t significantly disadvantaged.

Don’t idolize it, and don’t panic about it. Stay curious and experiment moderately.