Hypercoding: 3 Rules To Supercharge Your Vibecoding

Dos and Don’ts

Image created by me using ChatGPT.

Vibecoding is the talk of the town, but I don’t think it's the real future. “Hypercoding” is (as I call it). Think of it as a process of writing code with AI assistance while clearly applying your understanding of software design patterns and architecture, and prompt engineering.

You have to combine the best of you with the best of AI to get the best of both worlds.

LLMs are very good at generating short, well-defined code snippets to do a very specific task. They are also very good at writing unit tests for such specific code snippets.

This goes well in line with a fundamental software engineering concept called the Single Responsibility Principle (the S in SOLID). Any code you generate via LLM must at most perform a single action or a series of independent single actions.

Another important pattern to remember is the O of SOLID, the Open/Closed Principle. Everything you generate and approve with an LLM must be open for extension but closed for modification.

Right now, most vibecoding heavily violates this. LLMs regenerate entire code files, modify existing functions, and revise context across every iteration. This changes things that were previously working, too, which ultimately creates hard-to-maintain…