How to fix AI-generated frontend code
The first draft is rarely the best draft. A practical method for turning a generic AI frontend into something worth shipping.
Read the guideTurn your first AI draft into a frontend you’re proud of. Practical guides on better design, better prompts, and the details that make the difference.
A little human direction. A much better result.BUILT WITH AI. REFINED BY YOU.Practical ideas. Thoughtful details.
A little less “make it pop.”
The first draft is rarely the best draft. A practical method for turning a generic AI frontend into something worth shipping.
Read the guideReplace “make it look better” with a brief your AI coding assistant can actually build from.
The colors, type, and spacing decisions that stop your AI-generated UI from drifting apart.
Show what good looks like. Choose a reference and explain the details that matter.
Set your type, spacing, and colors. Give the next component a system to follow.
Add purposeful visuals. Check every state. Read it, click it, and try it on your phone.
Refine this frontend while preserving its functionality. 1. Inspect the existing components and design tokens. 2. Propose a clear type scale, spacing system, and color palette. 3. Improve one representative section before applying the direction everywhere. 4. Use purposeful imagery and clear, specific copy. 5. Verify keyboard access, mobile layouts, empty states, and every visible action. Explain the changes and show the result at desktop and mobile widths.
Add your own reference, audience, and project constraints before using it.
I’m Shiva, the founder of PostMCP AI. I started fixaicode to share the practical side of building with AI: the references, small decisions, and rounds of refinement that turn a promising draft into a considered product.
No magic prompts. Just a better way to work.
See what I’m buildingBring a little more intention to your next build.
Start with the essential guide