Chainfeeds Summary:
The wall between "having an idea" and "making it happen" is collapsing.
Article source:
https://x.com/SuhailKakar/status/2005610738149433683
Article Author:
Suhail Kakar
Opinion:
Suhail Kakar: For the past two decades, there has been almost only one prerequisite for building software: learning to code. You needed years of training, familiarity with languages, frameworks, debugging tools, and dealing with bugs at 3 a.m., accepting that this was part of the entry barrier. But this prerequisite is quietly crumbling. The change didn't come from a particular launch event, but from a leap in the capabilities themselves. Andrej Karpathy calls this change "Vibe Coding." You no longer focus on the code itself, but on ideas and intentions; the code is automatically generated by AI. This isn't about escaping learning or being lazy, but about acknowledging a reality: the bottleneck in software development is no longer "writing code," but "knowing what to do." When you can outsource code input to AI, the truly important capabilities become clear expression, breaking down requirements, and rapid iteration. You describe the desired result, AI is responsible for implementing it; you test the results, propose corrections; and so on, until it's usable. This is the core logic of Vibe Coding. It signifies a fact: the distance from "having an idea" to "having a product" is rapidly shrinking. What one person can accomplish in a day now might have taken a team weeks in the past. This isn't a future expectation, but a reality that's already unfolding. The real difference lies not in whether you can write code, but in who can transform vague ideas into executable instructions faster and more accurately. For those who already know how to code, or aspire to be developers, Vibe Coding doesn't mean abandoning code altogether, but rather using AI to amplify development efficiency. New-generation editors, like Cursor, embed AI directly into the development process: you don't just ask for suggestions, but let AI directly modify project files, create components, and refactor logic. Models like Claude act like a readily available senior engineer, capable of understanding the entire codebase and making precise modifications. The key to efficient Vibe Coding isn't about making AI write more, but about letting AI explain first, then act. Before implementing each feature, ask the AI for a solution: which files will be modified, how the logic will be broken down. If the solution is too complex, repeatedly ask for simplification until it meets minimum usability. Only after the solution is clear should the AI begin coding. This step often saves a significant amount of debugging time later. For those who don't want to become engineers, Vibe Coding offers another path: building truly usable applications without ever touching code. Tools like Replit and Lovable encapsulate the development environment, database, and deployment all within the browser. You simply describe your product requirements in natural language, and AI will generate a complete application and demonstrate the build process in real time. In this path, the most important capability isn't technology, but clarity of expression. Vague descriptions will only yield vague results. Instead of saying you're building an accounting app, clearly define: how users register, what fields they can add, how they can view data, and what operations are the core functionalities. AI excels at understanding user behavior, not abstract ideas. An effective approach is to first write a simple specification, breaking down functions into what users can do, and then gradually building a minimum viable product (MVP). After completing each function, immediately test it like a real user: inputting error messages, deleting data, and repeatedly clicking. Provide immediate feedback on any issues, and AI will quickly correct them. Through this iterative process, you can complete a product prototype that previously required a technical team in a very short time and deploy it with a single click. [Original text in English]
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