Why vibe coding fails (and how to make it actually work)

Most people love vibe coding… until the app grows.

At some point, prompts stop being enough and everything starts to break:
features clash, logic leaks everywhere, and “just ship it” turns into rewrites.

Every AI builder eventually hits the same wall:

the AI builds fast, but it doesn’t understand the product.

What “pure vibe coding” really turns into:

• Features implemented without shared context

• No clear source of truth for business logic

• Inconsistent APIs, schemas, and flows

• AI guessing what you meant instead of what you want

• Fixing bugs caused by earlier prompts you forgot about

Timeline: days to get something working
Reality: weeks fixing invisible decisions you never documented

🚀 Capacity makes the AI think before it builds

Instead of jumping straight into code, Capacity forces one missing step: product understanding.

Before writing code, the AI:

• Clarifies requirements

• Structures features

• Defines data models & flows

• Aligns everything into a spec the AI can actually follow

No more “rewrite the whole thing” prompts.

💡 What you get out of the box

✔️ AI-generated product & feature specs
✔️ Shared context that persists across builds
✔️ Fewer hallucinated decisions
✔️ Cleaner, more predictable code
✔️ Works even if you don’t know how to code

👌 When should you use Capacity?

Use it if:

• You’re tired of fighting your own AI after day 2

• You want something you can actually maintain

• You’re building more than a landing page

If you enjoy debugging AI-made spaghetti at 2am,
pure vibe coding might still be your thing 😄