#維護性

Live, measured metrics for the hashtag #維護性 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

hashtag.org network · sponsored

Own #維護性

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.

$5,313.74/ year · 3-character #name
Claim #維護性 — $5,313.74/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0
Avg reactions / post
Mastodon · last 4
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-08-24 22:25 UTC
0
08-18
0
08-19
0
08-20
0
08-21
0
08-22
0
08-23
0
08-24

0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.

Related hashtags

measured · mastodon.online (Mastodon public search API) · fetched 2026-08-24 22:25 UTC

No related tags with measured usage found for #維護性.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-24 22:25 UTC

Everything below is measured over the latest 4 public posts (spanning ~11004 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: Chinese (Taiwan) (4)

Avg boosts / post: 0

Top of the latest posts

  • 🌘 動態型別的用途 ➤ 動態型別的權衡：彈性與長期維護性的對比 ✤ https://unplannedobsolescence.com/blog/what-dynamic-typing-is-for/ 本文探討動態型別語言在軟體開發中的優缺點，特別是在需要高度維護性和長期可讀性的專案中。作者認為，雖然動態型別語言提供彈性，但缺乏型別資訊會增加理解和除錯的難度，進而影響軟體的可維護性。相較之下，靜態型別語言（如 Rust 和 Java）能提供更明確的程式碼資訊，有助於減少未來

    GripNews@[email protected]♥ 0↻ 02025-10-18 18:18 UTCView post →

  • 🌘 軟體大型設計的學問 ➤ 掌握複雜度，打造可長久維護的軟體系統 ✤ https://dafoster.net/articles/2025/07/22/designing-software-in-the-large/ 這篇文章深入探討了《A Philosophy of Software Design》一書的核心觀念，強調軟體大型設計的關鍵在於有效管理系統的複雜度。作者指出，複雜度源於模組間的依賴和資訊的不明確，進而導致「變更放大」、「高認知負荷」和「未知未知」。為降低複雜度

    GripNews@[email protected]♥ 0↻ 02025-08-11 15:18 UTCView post →

  • 🌘 我知道你何時在「氛圍編碼」 ➤ 程式碼背後的「氛圍」：當 LLM 取代人類原則 ✤ https://alexkondov.com/i-know-when-youre-vibe-coding/ 本文作者認為，現今軟體開發中出現了一種「氛圍編碼」的現象，其特色是程式碼雖然能正常運作、清晰易懂且經過測試，卻不遵循專案既有的開發慣例與標準。作者指出，這種現象往往是大型語言模型（LLM）生成程式碼的結果，因為人類開發者通常不會刻意規避現成的函式庫、重複實作已有功能、或偏離團隊接受

    GripNews@[email protected]♥ 0↻ 02025-07-31 05:18 UTCView post →

#維護性 across platforms

every network with a public tag surface

Follow #維護性 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.

X (Twitter) ↗Instagram ↗TikTok ↗Facebook ↗LinkedIn ↗YouTube ↗Threads ↗Bluesky ↗Mastodon ↗Reddit ↗Pinterest ↗Tumblr ↗

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/維護性