Vibe Coding

The same AI coding assistant can feel like a senior engineer or like a confused intern, and most of the difference is how you talk to it. After shipping a stack of apps this way, these are the prompting habits that consistently get good code instead of plausible-looking garbage. None of them are clever tricks. They are just good delegation. Describe the outcome, not the implementation Amateur prompt: “add a useState and a button that calls saveDraft.” Better prompt: “users should be able to save a draft and come back to it later.” Tell it what should be true for the user, and let it propose the implementation. You will often get a cleaner approach than the one you would have dictated, because you stopped constraining it to your first idea, and you stay focused on the product instead of the syntax. ...

People ask what tools I use far more than they ask about strategy, so here is the honest stack, the things I actually open every day to ship as a team of one. Tools change constantly, but the categories do not, so I have organized this by the job each one does rather than by brand. Steal the structure, swap the specifics for whatever is best when you read this. ...

Vibe coding lets a solo builder move at a pace that used to require a whole team. It also lets you generate a disaster at that same pace if you are sloppy, and the disasters are quiet, they do not announce themselves until much later. After shipping a bunch of apps this way, here are the mistakes I see most often, including ones I have made myself, and how to dodge each one. ...

“Vibe coding” gets thrown around like it means typing a wish into a chatbot and receiving a finished app. That is not what it is, and believing that is the fastest way to ship something broken. Here is the honest version, based on how I actually build and ship apps as a team of one. A working definition Vibe coding is describing what you want in plain language and letting an AI write most of the code, while you stay the architect, reviewer, and tester. You are still in charge. You are just not typing every line. ...

When you add AI to an app, one architectural choice shapes almost everything that follows: does the model run on the device or in the cloud? It affects your costs, your privacy story, your speed, your offline behavior, and what the app can actually do. Most developers reach for the cloud API by reflex because it is easiest to start with, but the right answer depends on your app. Here is how the two compare and how to decide. ...