dbreunig/whenwords

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

1312 stars · 81 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

whenwords is a relative time formatting library that ships only a specification (SPEC.md), language-agnostic test cases (tests.yaml), and install instructions—no implementation code. Developers generate the actual library in their language of choice (Ruby, Python, Rust, Elixir, Swift, PHP, Bash, etc.) by pasting a prompt into an AI coding assistant and iterating until all spec tests pass.

Use cases

• format timestamps as '3 hours ago' style relative strings
• parse human duration strings like '2h 30m' into seconds
• format seconds as readable durations like '2 hours, 30 minutes'
• show contextual dates like 'Today', 'Yesterday', or 'Last Tuesday'
• collapse date ranges into smart strings like 'March 5–7, 2024'
• generate a time formatting library in any language via AI coding tools

When to choose

• you need consistent relative-time formatting across multiple languages from one spec
• you want a small, AI-generated utility library you can regenerate and verify against shared tests
• you prefer spec-and-tests artifacts over vendored dependencies

When to avoid

• you need a battle-tested, maintained implementation with a real maintainer fixing bugs
• you cannot or do not want to use AI coding assistants to generate code
• you need extensive locale/internationalization support beyond the spec

Facets

library · maturity active

date-time developer-tools programming-languages cross-platform python rust ruby php elixir spec-only no-code ai-generated-code language-agnostic relative-time human-readable-dates test-driven-spec localization swift

Member repositories

For agents

markdown · JSON · MCP: product_card(name="dbreunig/whenwords")