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Building an e-commerce MVP in in 5 prompts using rdd

Building an e-commerce MVP in in 5 prompts using rdd

by cclth·Feb 20, 2026·2 points·1 comment
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AI Analysis

●●SolidBig BrainSolve My Problem

Project management layer for Claude Code, but it's a workflow, not a tool.

Strengths
  • •Addresses real pain: AI forgets context mid-project; RDD's persistent memory and resume feature are genuinely useful.
  • •Concrete proof-of-concept: built full e-commerce MVP in 5 prompts, showing methodology actually works at scale.
  • •Structured breakdown: requirements → tasks → tests forces discipline that raw AI coding lacks; clever framing as 'checklist for your AI.'
Weaknesses
  • •Not a product, it's a prompt recipe: RDD is documented instructions for Claude, not a tool you install or integrate.
  • •Limited scope: solves Claude Code specifically; unclear if translatable to other LLM tools or why you'd pick this over competitors' built-in project memory.
  • •No automation: still requires human to write requirements and run commands; doesn't eliminate the 'human clipboard' problem, just bureaucratizes it.
Target Audience

AI coding assistant users (Claude Code, Cursor) building multi-file projects; developers frustrated with AI context loss.

Similar To

Continue IDE's context management · Cursor's multi-file editing with memory · Aider's requirement-driven agent workflows

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