Why does reading a Figma file still feel like archaeology in 2026?!

Hey Karthikeyan, I felt this post. I've been dealing with the same frustration.

I was in the exact situation you described. AI agents would get the layout close but hallucinate spacing, miss token names, and approximate border radius values. Pasting screenshots into Claude gave me "almost right" components that still needed manual fixing every single time.

So I tried a different approach. Instead of having AI interpret what a design looks like, I built a tool that reads the Figma node data directly through the API. Exact padding, exact colors, exact typography. No screenshots involved. The AI model only sees pre-resolved values, not visuals.

I also added a verification script that runs on every PR and compares the component against the live Figma file. If anything has drifted, the PR doesn't merge.

We ended up shipping more than 60 components with 3,077 tests in 35 days this way. I wrote up the full approach if you're curious: https://dev.to/akollu72/how-we-shipped-60-design-system-components-in-5-weeks-using-figma-as-the-single-source-of-truth-1lkc

To your question, I think it's 100% a tooling problem. The structured data is already sitting in the Figma file. We just need tools that read it instead of looking at it.

Would love to hear how FigSpecs is working out for you!

This design-to-code gap is exactly what I am trying to understand. I am a UX/UI designer and full-stack developer. When teams use AI to turn design intent into frontend code, would it be useful to have a reviewer that flags UX/design-system drift in the PR and gives a concrete fix prompt? Or would that duplicate what designers already catch manually?

Sean, that's exactly what I built. The verify-figma script runs on every pull request and does precisely what you're describing. It fetches the live Figma data, compares it against the component source, and flags specific discrepancies: wrong typography variant, drifted spacing, incorrect border radius, raw hex values that should be tokens.
When it catches something, it tells you exactly what drifted, what the Figma file says the value should be, and where in the code the problem is. The PR doesn't merge until it's resolved.
To answer your question: it doesn't replace what designers catch. My designer still reviewed every component visually in Storybook via Chromatic. But she was reviewing for design intent, hierarchy, and feel, also to check the efficiency of the pipeline that I built. The script handled the mechanical checks like exact token values, spacing, and border radius. That split meant the designer's time went toward judgment calls, not pixel counting. And the script keeps catching drift long after the initial review, on every future PR, when nobody is manually checking anymore.