Name That UI translates visuals to developer terms

// 1h agoPRODUCT LAUNCH

Name That UI translates visuals to developer terms

Name That UI, created by ArgoFowl, is an interactive visual dictionary that translates everyday descriptions of interface elements into precise developer terminology, framework symbols, and ARIA attributes. By bridging the gap between visual concepts and APIs, it helps developers write more accurate prompts for AI coding agents.

// ANALYSIS

As natural language prompting becomes a primary method for building software, bridging the terminology gap between visual concepts and framework APIs is a major productivity booster.

* Translating "bad descriptions" to technical API names addresses a frequent pain point for both novice builders and experienced developers.

* Directly improves AI-assisted coding workflows by equipping users with the precise terms needed to prompt LLMs for specific components.

* Provides robust technical context, including accessibility attributes (ARIA labels) and framework-specific symbols, rather than just simple definitions.

* The visual styles atlas helps align design system aesthetics, ensuring consistent implementation across teams and tools.

// TAGS

designuiuxdevtoolvibecodingreferencecoding-agentsswiftuiweb-design

DISCOVERED

1h ago

2026-07-16

PUBLISHED

2h ago

2026-07-16

RELEVANCE

8/ 10

AUTHOR

toolfolio

// KEEP READING

More AI developer news from the feed

EXPLORE FULL FEED

LAUNCH28m ago

Schema tops ARC-AGI-3 benchmark reasoning like physicists

Developed by Impossible Research, Schema is a custom agentic harness that structures LLM reasoning via inverse graphics and inverse dynamics. Guiding agents to reason like physicists, it achieved 99% Relative Human-Averaged Evaluation on the ARC-AGI-3 public set using Claude Opus 4.8 and Fable 5.

RESEARCH1h ago

Harness Handbook makes AI agent harnesses readable

The "Harness Handbook" is a newly released research paper (arXiv:2607.13285) that tackles the complexities of managing AI agent evaluation and deployment environments. It introduces approaches to improve the developer experience by ensuring that as agent harnesses evolve, they remain readable, easy to navigate, and straightforward to edit.

UPDATE1h ago

Pi v0.80.10 ships Kimi adaptive thinking, restores xAI

Pi v0.80.10 addresses several issues and introduces new capabilities, notably enabling Kimi Coding models to correctly use adaptive thinking, mirroring Anthropic's approach without token budgets. It also fixes a bug from v0.80.9 that removed xAI models from the catalog, corrects pricing metadata for Moonshot AI, and adds support for replaying empty-signature thinking blocks in K3.