Code RoomOwn a11y and i18n
HardPrep Room Coding #4459

Own a11y and i18n

Vibe & agenticAlgorithms & data structuresSenior–Staff~22 min

You're leading a small team using AI agents to rebuild a legacy web app's UI, and the product must ship accessible (WCAG AA) and localized into 8 languages from day one. Junior engineers are generating components fast but the output keeps regressing on a11y and i18n. How do you decompose this work for AI agents so these cross-cutting concerns are owned rather than sprinkled, and where do you insist on human checkpoints?

Implement
evaluate_merge_gate(component_records: list[str]) → list[str]
Examples
in[["name=LoginDialog;axe=2;raw=0;overflow=0;primitive=true"]]out["LoginDialog: block, 2 axe violation(s)"]
in[["name=SettingsRow;axe=0;raw=3;overflow=1;primitive=false","name=Button;axe=0;raw=0;overflow=0;primitive=true"]]out["SettingsRow: block, 3 hardcoded string(s)","Button: human, shared primitive or key schema change"]
in[["name=ProfileCard;axe=0;raw=0;overflow=0;primitive=false"]]out["ProfileCard: auto, composed from primitives with gates green"]
What a strong answer looks like

Treat the AI’s output as a draft to verify, not an answer to trust. Name the specific flaw and the input that triggers it, say how you’d catch it (tests, edge cases, reading critically), and how you’d re-prompt or decompose to get it right.

0:00 of about 22 min

Vibe & agentic: describe the solution in plain language (or narrate it) and the coach grades your approach.

Which questions mattered is sealed until you submit. Telling you now would just be handing over the edge cases.