#程式碼自動化
Live, measured metrics for the hashtag #程式碼自動化 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #程式碼自動化
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · mastodon.social (Mastodon public tags API) · fetched 2026-09-06 11:13 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mastodon.social (Mastodon public search API) · fetched 2026-09-06 11:13 UTCLive pulse
measured · mastodon.social (Mastodon tag timeline) · fetched 2026-09-06 11:13 UTCEverything below is measured over the latest 4 public posts (spanning ~8272 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (4)
Avg boosts / post: 0
Top of the latest posts
🌗 Haskell 隨筆：詳盡的規格書本質上就是程式碼 ➤ 當規格書寫得太細，它就不再是規格，而是另一種形式的程式碼。 ✤ https://haskellforall.com/2026/03/a-sufficiently-detailed-spec-is-code 本文批判了當前「AI 代理程式自動生成程式碼」的技術迷思。作者認為，支持者常誤以為撰寫規格書比撰寫程式碼更簡單且更具思考深度，但事實上，若要讓規格書精確到足以產生可運作的軟體，其內容最終仍需趨近於程式碼（或偽代碼
🌖 Fable 5 與 GPT-5.6 Sol 在 NP-Hard 問題上的對決：`/goal` 指令真的有用嗎？ ➤ 剖析 AI 自動化工具中的「目標指令」機制：是導航者，還是路障？ ✤ https://charlesazam.com/blog/fable-5-gpt-5-6-sol-goal/ 本文由 Charles Azam 撰寫，透過一個複雜的「光纖網路設計」（NP-hard）最佳化問題，深入評測了 Claude Fable 5 與 GPT-5.6 Sol 兩大模型
🌖 GitHub - MinishLab/semble：為 AI Agent 打造的高效精準程式碼搜尋工具 ➤ 告別冗長全文檢索，讓 AI 代理精準、快速地掌握大型程式碼庫 ✤ https://github.com/MinishLab/semble Semble 是一款專為 AI 代理（Agents）設計的高效程式碼搜尋函式庫。它徹底改變了 AI 閱讀程式碼的方式，透過自然語言查詢而非傳統的 grep，能精準提取相關代碼片段。與傳統「grep 加讀取全文」的方法相比，Sem
#程式碼自動化 across platforms
every network with a public tag surfaceFollow #程式碼自動化 straight to each platform’s own tag page. Where a platform publishes open data we measure it above; the rest lock their numbers behind paid APIs, so we link rather than guess.
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/程式碼自動化