#軟體架構
Live, measured metrics for the hashtag #軟體架構 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #軟體架構
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 · mas.to (Mastodon public tags API) · fetched 2026-08-21 23:06 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · mas.to (Mastodon public search API) · fetched 2026-08-21 23:06 UTCNo related tags with measured usage found for #軟體架構.
Live pulse
measured · mas.to (Mastodon tag timeline) · fetched 2026-08-21 23:06 UTCEverything below is measured over the latest 15 public posts (spanning ~6722 hours).
Posting hours (UTC) — busiest: 13:00
Languages: Chinese (Taiwan) (15)
Avg boosts / post: 0.2
Top of the latest posts
🌗 VibeSec 的審視與應對 ➤ 僅憑提示詞不足以確保AI安全：實際應對之道 ✤ https://martinfowler.com/articles/vibesec-reckoning.html 「Vibe Coding」讓非技術使用者能快速運用生成式AI開發應用，大幅加速了原型製作。然而，由於AI傾向選擇最省力路徑，常推薦不安全的配置，導致系統性安全隱患。本文以Thoughtworks團隊的實際經驗為例，闡述了AI生成程式碼面臨的兩大安全風險：公開儲存存取與過度權限。
🌘 大型語言模型正在打破 20 年來的系統設計慣例 ➤ 從無狀態轉向持久化：為什麼我們需要新的路由機制？ ✤ https://zknill.io/posts/llms-are-breaking-20-year-old-system-design/ 過去二十年來，Web 架構的核心假設是「無狀態運算」與「資料庫儲存狀態」。然而，隨著 AI 代理（Agents）與大型語言模型的興起，這種架構顯得捉襟見肘。代理程式涉及長時運行、內部狀態管理及即時互動，這些特性均與傳統的請求-響應
🌘 代理人不是同事：請將其嵌入軟體架構中 ➤ 告別冗長對話：如何利用增量處理與 CDC 打造「隱形」的 AI 代理人 ✤ https://www.feldera.com/blog/ai-agents-arent-coworkers-embed-them-in-your-software 當前的 AI 代理人（Agents）多被設計成「人類同事」的模樣，傾向於透過冗長的對話、摘要與解釋來溝通，這不僅增加了使用者的認知負荷，也背離了「寧靜技術」（Calm Technology）
#軟體架構 across platforms
every network with a public tag surfaceFollow #軟體架構 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/軟體架構