Six months ago, "let me build a prototype to validate this" meant a 3-month commitment. Now it me...

Six months ago, "let me build a prototype to validate this" meant a 3-month commitment. Now it me...Six months ago, "let me build a prototype to validate this" meant a 3-month commitment. Now it me...

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Yaroslav Dykyi

pro

• 5h

Six months ago, "let me build a prototype to validate this" meant a 3-month commitment.

Now it means a weekend with Claude Code and a clear enough idea of what you're testing.

The bottleneck was never the tooling. It was always the clarity 🙌

Claude ai mvp

Sebastian Avelar

pro

• Aug 24

Hey! I just shared a write-up on something I learned while rebuilding a product with AI agents:)

The main idea is pretty simple: Don’t put all your product context in one giant agent file.

Keep the main file small, and put the real product knowledge inside structured docs that the AI can navigate when it needs them.

This has helped me a lot when working on a SaaS product with a lot of business logic!

Sharing the full breakdown here:

https://docswarp.notion.site/How-to-document-your-product-so-AI-can-actually-build-it-3c09678204c580948a52c0f4ec86d6fc?source=copy_link

I'm offering consulting services to set this up! :)

Claude GitHub Supabase AI Engineer AI Development Product Design

Mark Barliet

pro

• Aug 25

The table-of-contents-in-the-main-file pattern is the key move here - it keeps the agent's default context small while still giving it a map to go fetch the architecture or naming-convention doc only when the task actually touches that domain.