Published 29 August 2026 · Source dated 24 August 2026
An August 2026 post argues "graph engineering" — structuring context for AI agents — is becoming the differentiating skill behind better agent output. It's early-stage and mostly discussed in engineering circles, not yet a standard design method.
Coach
Next time you brief an AI tool inside Figma, write the context out as a short list first (component names, constraints, goal) — see if structured input changes the output quality.
Surf this topic: UCD methods (opens in a new tab)
Source: facebook.com (opens in a new tab) ·
Jakob Nielsen's ten usability heuristics have been the backbone of UX critique since 1994. They're worth relearning properly, not just skimming the list.
nngroup.com (opens in a new tab)
Your move
Pick one screen from your own portfolio and run it against all ten heuristics — write down which one it breaks hardest, and fix that first.
AI tools can generate screens fast, but they don't validate usability — that's still on you. Classic heuristic evaluation is more relevant, not less, now that production speed has gone up.
nngroup.com (opens in a new tab)
Your move
before you ship your next AI-assisted screen, run a quick 10-point heuristic check against it and write down what fails.
More first drafts are arriving via AI agents, but the fundamentals of a good design critique haven't moved. IxDF's literature on critique still holds regardless of who — or what — made the first version.
interaction-design.org (opens in a new tab)
Your move
next time you review an AI-assisted design, ask 'what user problem does this solve?' before commenting on how it looks.
