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docs: front-load what/why in the Readme, demo gif before implementation - #46

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bougyman merged 1 commit into
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issue-45
Aug 10, 2026
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docs: front-load what/why in the Readme, demo gif before implementation#46
bougyman merged 1 commit into
mainfrom
issue-45

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Summary

Closes #45.

Readme jumped straight into Installation with no intro on what the tool does or why you'd want it. Lead with a one-line description, the old Ruby repo's demo gif (cinemas/listings.cinema.gif - same UX, since lcls behaves identically), and the concurrency win as the concrete why (10 issues by id: ~1.5s here vs ~5s doing it one at a time, measured earlier this session). Installation/usage details now come after, not before.

Test plan

  • asciidoctor -o /dev/null Readme.adoc renders clean

Readme jumped straight into Installation with no intro on what the
tool does or why you'd want it. Lead with a one-line description, the
old Ruby repo's demo gif (same UX), and the concurrency win as the
concrete why - installation/usage details now come after, not before.

Closes #45.

Co-Authored-By: Claude Sonnet 5 <noreply@anthropic.com>
Copilot AI lite review requested due to automatic review settings August 10, 2026 01:25
@bougyman
bougyman merged commit 8510688 into main Aug 10, 2026
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@bougyman
bougyman deleted the issue-45 branch August 10, 2026 01:26

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Pull request overview

Updates Readme.adoc to better explain what the Linear CLI does and why to use it before diving into installation and usage details (per #45).

Changes:

  • Adds an upfront one-line product description and reorders the introduction ahead of installation.
  • Embeds the existing demo GIF (cinemas/listings.cinema.gif) near the top of the README.
  • Highlights the “real concurrency” benefit (Task.async_stream) with a concrete example.

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Comment thread Readme.adoc
A command line interface to https://linear.app - list, take, create, develop,
and update issues without leaving your terminal.

image::cinemas/listings.cinema.gif[]
Comment thread Readme.adoc
Comment on lines +21 to +22
issues at once. Looking up 10 issues by id, for example, runs in ~1.5s here
vs ~5s doing it one at a time.
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Readme front-loads implementation details instead of what/why

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