Greenfield Project

A greenfield project is software development that starts from scratch with no existing codebase or constraints. Greenfield projects are ideal for vibe coding because AI can generate entire architectures, establish patterns, and scaffold complete features without navigating legacy code or technical debt.

Example

Starting a new SaaS product is a greenfield project — you can describe the entire feature set to AI and generate a cohesive codebase from day one, rather than fitting new code into existing patterns.

Greenfield projects are where vibe coding delivers maximum value. Without legacy constraints, you can move fast and let AI establish clean patterns from the start.

Greenfield vs Brownfield

GreenfieldBrownfield
Start from zeroExisting codebase
Freedom to choose patternsMust match existing patterns
No technical debtInherited complexity
AI can scaffold everythingAI must understand existing code

Why AI Excels at Greenfield

  1. No constraints — AI suggests modern, idiomatic patterns
  2. Consistent architecture — AI can establish patterns used everywhere
  3. Fast scaffolding — Generate project structure in minutes
  4. Clean slate — No legacy code to work around

Greenfield Vibe Coding Workflow

  1. Describe the project — What are you building? Tech stack preferences?
  2. Generate structure — AI scaffolds directories, config, base files
  3. Build features — Describe each feature, AI implements
  4. Iterate — Refine based on testing and feedback

Making the Most of Greenfield

  • Document decisions — Capture patterns in Cursor Rules
  • Establish conventions early — Consistent naming, structure
  • Build incrementally — Verify each piece works before adding more
  • Test as you go — AI-generated tests catch issues early

The Greenfield Window

Every project starts greenfield, but the window closes. As code accumulates, you shift to brownfield patterns. Use the greenfield phase to establish excellent foundations.

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