AI tools like Cursor and ChatGPT are incredibly useful, but while building backend features I kept running into the same problem.
When backend requirements are vague, AI starts guessing.
That usually leads to:
- Incorrect business logic
- APIs that don’t match real product needs
- Auth and data rules breaking
- Rewriting the same code multiple times
I realized the issue isn’t AI.
The issue is unclear backend specifications.
Instead of jumping straight into code generation, I started defining things first:
- Data models and relationships
- API contracts
- Authentication and authorization rules
- Error handling and edge cases
This approach worked far better.
So I built Onvyo.
Onvyo is an AI-powered developer tool that generates end-to-end, implementation-ready backend specifications before you write or generate any code.
It uses a structured interview flow (not free-text prompting) and outputs a detailed backend spec in Markdown that you can paste directly into tools like Cursor or ChatGPT.
The goal is simple:
Give AI clear, deterministic instructions so it stops guessing and starts generating correct backend code.
Onvyo is now live and still early:
👉 https://onvyo.com
I’m building this in public and actively collecting feedback.
If you’ve struggled with AI-generated backend code due to unclear specs, I’d love to hear how you’re handling it today.
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