Spec Driven Design — From Logic to Style

AI summary focused on the core points of the original article.

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1. Turning direction into a style spec

Transform mood boards and reference materials into explicit rules that AI can execute.

Collect images and design patterns, and leave comments explaining why they were chosen and the intended use.
- Shift from references that only convey a mood to interpretable design decisions
- Establish criteria for AI agents to judge what to keep and what to change
Organize the refined direction in a `DESIGN.md` or `StyleGuide.md`.
- Define visual rules such as color, typography, spacing, and mood
- Use it as a single basis shared by design and implementation

2. Maintaining control while implementing gradually

Rather than applying a natural-language style guide all at once, implement and check it in small units.

Based on the spec, AI agents progressively apply visual style to a function-focused prototype.
- Compare results at each stage to quickly spot deviations and interpretation gaps
- Separate structure and style to keep the scope of revisions and the impact clear
Designers accept a margin of error in the generated results but retain decision-making authority over details.
- Provide specific feedback on what differs from expectations
- Improve the spec as part of the iteration process to increase consistency in the next result

3. Three paths for refining the result

Choose the most efficient method of revision according to the state of the deliverable and the level of precision needed.

Prompt improvement
- Refine by talking with the AI agent and describing visual issues in precise language
Using Figma
- Move the code into Figma layers via MCP or direct copy, then adjust at the pixel level
Direct code editing
- Edit the necessary parts such as CSS directly to finish quickly and cost-effectively

XPLORED View

Spec-driven design is closer to a workflow that documents the designer’s judgment to increase control over the entire process of generation and refinement, rather than a way of leaving style to AI.

Good reading situations

When you have quickly built a functional prototype but do not know where to start refining its visual completeness
When you want to collaborate with an AI agent without losing design detail and consistency

Key takeaways

The process of turning a mood board into executable rules like `DESIGN.md` instead of passing it along as-is
The criteria for choosing a refinement path suited to the required precision among prompt, Figma, and code

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