Vibe Recipes: Turning AI Coding Experience Into Reusable Blueprints
Here’s a concept I’ve been thinking about: vibe recipes.
Today, people are vibe coding. They have an idea, they fire up their preferred coding agent, and they start giving instructions and building the application they want to build.
This process can take a day. A week. Sometimes longer, before you end up with the result you’re looking for.
But during that time, you’ll encounter problems with the AI model. You’ll get incorrect results. You may have to repeat yourself. The AI might introduce bugs, introduce security vulnerabilities, misunderstand the business logic you’re trying to implement, or mess up the workflow entirely.
But over that week, you fix it all. You refine the prompts, correct the mistakes, fill the gaps, and drag the model toward what you actually wanted.
Eventually, you have something that works — actually works — tested, reasonably secure, and doing what you originally intended.
Packaging What You Learned
What if you could consolidate everything you learned during that development process into a kind of recipe?
The simplest version is a folder: a README at the top explaining the project, then several subfolders — one per phase of development. Each contains the prompts, documentation, constraints, and lessons learned from that phase.
Say you have ten files. File one bootstraps the app. File two adds the first feature set. File three expands it. By file ten, the agent has enough context to build the whole thing, including every footgun, edge case, and silent failure you hit the first time around.
In other words, you’re packaging all of your hard-earned experience into a reusable format.
Creating The Recipe
Your conversation history is already a recipe in draft form. Most agents store it locally, grouped by session: every correction, every pivot, every lesson you forgot making. By transforming your past conversations into a RAG dataset and introducing natural language search, you can query your history like so:
List all instances where I have corrected the AI and updated the architecture
Or just maintain a learnings.md. Ask the agent to log every correction as it happens. No tooling required.
Going From Zero to Hero
Hand it to someone else. They load it into their agent, and in a single session they get what took you a week, because you’ve already done the hard part.
The recipe carries far more than prompts:
- Custom agents
- Custom skills
- Custom documentation
- Architecture guidance
- Development workflows
- Testing requirements
- Security requirements
You provide everything you’d hand a new developer on day one: the docs, the schema, the architecture decisions, the “don’t do this” list.
You don’t need to provide source code. Just the foundation, the context the agent needs to build it correctly.
The goal is simple:
I want to build what you’ve already figured out how to build, but I want to build it using my AI.
The Market for Vibe Recipes
What if people started selling these? Instead of writing software, you sell the recipe that lets someone else generate it. The marketplace creates itself.
- Someone wants to build a CRM? Someone has already created a recipe pack for that.
- Want to build a food planner web application? Someone has already created a recipe pack for that too.
You download the pack, point your coding agent at it, and wait for the application to be generated. The software is no longer the product. The value is the accumulated context, the constraints, workflows, lessons — that let someone else generate it.
Beyond Skills and Workflows
This is already happening. Custom skills, custom agents, bespoke workflows are here; vibe recipes are the next layer.
Just as people already buy and sell custom AI skills and workflows, they’ll buy and sell vibe recipes.
The recipe becomes the product. The software is simply the output.