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growth: measured 'built by AI, for AI agents' positioning to attract AI-assisted contributors (after #1275)

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调研方向

Start by reading #1275 and the repository's existing contributor documentation, then map the benchmark script, docs site page, CONTRIBUTING.md, docs/llms.txt, make precheck, and issue forms. Done means a reproducible protocol, runs on at least three models and a baseline, a dated public results page, updated contributor guidance, and five qualifying good-first-issue issues.

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描述

area:docs kind:decision

Goal. Bring in more AI-assisted contributors by making the claim "EigenScript is built by AI, for AI agents to work on" measured and public, not asserted.

Why this compounds. An AI contributor's cost is what #1275's benchmark measures: tokens, precheck/CI rounds, and whether the first push is green. Lower cost means more contributions. Each contribution surfaces a gap, and the forcing-function rule routes it into docs, gates or llms.txt, which lowers the next contributor's cost. Evidence both ways: the heaviest outside contributor (AI-assisted, 63 PRs) stopped on 2026-08-20, as contributor-facing burden grew (#1275).

First data point (2026-09-24, #1275). A fresh claude-sonnet-5, given only the repo's docs, fixed #1236 with a regression test in 9.8 min for $2.21. Its first push was green on 33/33 checks (#1300).

Sequencing. Starts after #1275 closes. Publishing the benchmark mid-consolidation would advertise the burden being removed.

Done when:

  • The benchmark protocol is a script in the repo. It covers the history-free snapshot, a stub origin/main, the suite run in the foreground, and the metrics captured from the agent's result event, so any run is reproducible by command.
  • It has run on ≥ 3 models (e.g. Sonnet 5, Opus 5.5, GPT-6 Sol) and on a baseline: a comparable one-line stdlib bug plus a test in an established language's repo, the same protocol. Without the baseline, the claim is a data point, not a comparison.
  • A public page (docs site) shows the table, the protocol and the date, with a re-run date stated.
  • CONTRIBUTING.md has a short "Contributing with an AI agent" section that points the agent at docs/llms.txt, make precheck and the issue forms' "Done when". It is kept lean, per the contributor-facing-docs rule.
  • ≥ 5 open issues carry good first issue with a "Done when" an agent can verify.
  • The wording says "for AI agents" / "AI-written software", not "AI language" (Mojo's meaning).
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从这里开始

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  3. Fork 仓库,在一个分支上完成修改。
  4. 提交 Pull Request,并在描述里引用这个 Issue 编号。

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