If you’ve ever opened Cursor, Claude or any other AI coding tool, started “vibe coding” an idea, and ended up with ten half-working prototypes instead of one finished feature — this post is for you.
Vibe coding is how most of us start building with AI:
you drop into a coding session with a rough goal and trust the model to fill in the blanks.
That works… until it doesn’t.
At some point, the same model that felt magical starts to feel moody. You change one word, and suddenly your API endpoint is gone, your schema is broken, and your agent forgot its purpose.
That’s where Product Requirement Prompts (PRPs) come in.
In today’s post, you’ll learn:
What Product Requirement Prompts actually are
Why vibe coding breaks without structure
How PRPs make AI builds consistent and reusable
A simple template you can start using today
The Problem with Vibe Coding
Vibe coding is fun, fast, and feels creative — until you realise you can’t reproduce what you built yesterday.
Each new prompt feels like starting from scratch.
Common issues:
Context resets between sessions
The model forgets earlier decisions
Tiny prompt edits lead to wildly different results
No single source of truth for “what we’re building and why”
Vibe coding is great for exploration, terrible for execution.
Enter Product Requirement Prompts (PRPs)
A Product Requirement Prompt is a short, structured context block that defines:
The problem you’re solving
The goal of the task
The constraints or dependencies
The acceptance criteria (how you’ll know it’s done)
Think of it as a mini-PRD (Product Requirements Document) — but written for the AI, not your team.
Here’s an example for a Marketing Repurposing App that turns a single piece of content into hundreds of variations automatically.
# Product Requirement Prompt: Content Repurposing App
Problem:
Creators and marketers waste hours manually adapting one piece of content (like a video or article) for different social platforms.
Goal:
Convert a single source asset into 100s of platform-ready variations (tweets, reels, captions, carousel posts) — automatically.
Constraints:
- Maintain consistent tone and brand voice.
- Match each platform’s format and character limits.
- Output in structured JSON for API publishing.
- Avoid duplicate or repetitive outputs.
Acceptance Criteria:
- ✅ Generates at least 10 high-quality outputs per content type.
- ✅ Each output follows platform conventions (hashtags, tone, length).
- ✅ Results are ready for scheduling or direct posting.
That’s a PRP in action — the AI now has context, clarity, and structure.
It knows what good looks like before it even starts generating.
Why PRPs Work (and Vibes Don’t Scale)
Here’s why PRPs 10X vibe coding without you pulling your hairs
Standardised context → predictable outputs.
Every session starts from the same foundation.Reusable intent.
You can version, share, and reuse PRPs across projects.Less hallucination.
The model now “knows” your rules before generating.Human–AI alignment.
Developers, PMs, and the AI all speak the same structured language.
If you’ve ever tried to build anything complex with AI — an agent, automation, or workflow — you know how quickly results start drifting. One day it nails the logic, the next day it forgets what you asked for.
PRPs solve that by acting as your AI’s memory and blueprint. Instead of re-prompting from scratch, your agent reads one clear brief and behaves like a consistent teammate — not a random generator.
How to Use PRPs in Your Own Builds
Start with a simple template and build from there.
## Product Requirement Prompt
Problem:
[What pain are we solving?]
Goal:
[What outcome do we want?]
Users:
[Who benefits from this?]
Constraints:
[Rules, limits, or dependencies]
Acceptance Criteria:
[How will we know it's done?]
Pin this to your repo, or keep it as a reusable prompt in Cursor or Claude.
The model now anchors to your context before generating anything.
Use it for:
Workflow agents
Automation scripts
Building dashboards/prototypes
Feature specs for internal AI tools
The pattern is universal.
From Jazz to Symphony
Vibe coding is jazz — creative, spontaneous, chaotic.
PRPs turn it into a symphony: structured, repeatable, and scalable.
When every project begins with a PRP, you’ll notice:
Consistent outputs across sessions and models
Fewer hallucinations
Faster debugging
Easier collaboration
PRPs bridge the gap between prompting and engineering — structure without killing creativity.
Build with agents, not slides.
P.S. Want a full PRP framework with examples for Lovable, Cursor, Replit and Claude Code → Check it out
What’s holding you back in your AI agent journey right now?
Email me- I read and respond to every one.
The future is being built by makers, not corporations — Micro-SaaS founders and AI agents are leading the way.
Keep Building…,
– Rahil
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