20 / 20Future of work

A polished screenshot is lovely. It also hides the sprint where the mobile layout broke and someone had to make a real decision.

24 September 20264 min read3 research sources

A polished screenshot is lovely. It also hides the sprint where the mobile layout broke and someone had to make a real decision.

A screenshot alone is no longer enough to show the thinking behind a senior practitioner’s work.

AI can produce polished screens.

Template systems can produce polished screens.

A senior portfolio therefore needs to prove something harder: how you think.

01That means showing process, constraints, technical decisions, iteration, failures, arc

That means showing process, constraints, technical decisions, iteration, failures, architecture and the relationship between design and implementation.

A finished homepage tells me what something looked like.

A project journal can tell me why it exists, what changed, what broke, what the trade-offs were and how the final system was shaped.

That is far more valuable in an AI-heavy market.

The same applies to GitHub activity.

02A contribution graph is not proof of quality by itself, but real development history c

A contribution graph is not proof of quality by itself, but real development history can show continuity between visual work and implementation work.

In my HZ-Archives work, mobile widths, rendering, breadcrumbs and iframe sizing are examples of the unglamorous decisions behind a finished interface. Verify the individual commits before presenting them as independently documented evidence.

Yet those changes reveal something important.

Products keep changing after a visual concept is approved. A strong case study shows the decisions that shaped and maintained the result.

That is where experience becomes visible.

03AI readiness should also appear in portfolios differently.

AI readiness should also appear in portfolios differently.

Do not simply add a badge saying “AI”.

Show how AI fits into the operating model.

Did an agent speed up implementation while design review stayed human? Did you create a governance layer around AI-generated content? Did you connect a CMS, ERP and automation workflow so AI output entered a controlled approval process?

Those examples prove more than prompt-writing ability.

04They prove systems thinking.

They prove systems thinking.

Figma’s 2026 direction reinforces this. Design and code are increasingly able to move in both directions. Agents can participate directly in design workflows. The value of a practitioner therefore shifts toward the quality of the system they direct.

A senior portfolio should reflect that reality.

The question is not only:

“Can you make this?”

05It is:

It is:

“Can you understand why it should exist, build it into the right system, and keep it working after launch?”

That kind of evidence takes more than a polished image: it needs a clear account of decisions, constraints and outcomes that someone can inspect.

SourcesResearch trail

References used for this article

  1. 01Figma State of Design 2026
  2. 02Figma Code to Canvas
  3. 03Figma 2026 AI Report

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