#ai編程
Live, measured metrics for the hashtag #ai編程 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #ai編程
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 · fosstodon.org (Mastodon public tags API) · fetched 2026-08-24 19:02 UTC2 uses by 2 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-08-24 19:02 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-08-24 19:02 UTCEverything below is measured over the latest 8 public posts (spanning ~11520 hours).
Posting hours (UTC)
Languages: Chinese (Taiwan) (8)
Avg boosts / post: 0
Top of the latest posts
🌗 AI 編程將阻礙專業技能的養成 ➤ 避開除錯與掙扎的捷徑,正悄悄剝奪新一代工程師的專業直覺 ✤ https://larsfaye.com/articles/ai-coding-will-prevent-expertise 本文探討人工智慧編程工具對軟體工程師技能養成產生的負面影響。作者指出,生成式 AI 雖能加速開發,卻因幫新手跳過了關鍵的思考與除錯過程,導致其產生「掌握技術的幻覺」。真正的專業技術源於反覆嘗試與解決困難的「摩擦感」,過度依賴 AI 將使新手失去建立「開
🌗 Huzzah:一種實驗性的 AI 程式碼編寫新方法 ➤ 從自然語言對話轉向持久化偽代碼:重塑 AI 協作開發的專業性 ✤ https://www.danielvaughn.dev/posts/huzzah/ 隨著 AI 程式碼代理帶來的驚喜逐漸消退,開發者開始面臨冗長自然語言指令帶來的疲勞與控制力缺失。實驗性編輯器 Huzzah 提出了一種全新範式,將過去指令式且具揮發性的對話,轉變為宣告式且持久化的「偽代碼」文件。透過將偽代碼視為人類意圖的正式記錄,Huzzah 讓開
🌗 Claude Code Pro、Max 與 Team 方案現已將「自動模式」設為預設 ➤ 兼顧開發效率與安全的 AI 自主編程新標準 ✤ https://claude.com/blog/auto-mode-default-in-claude-code Anthropic 宣佈將 Claude Code 中的「自動模式」設為 Pro、Max 和 Team 方案的預設值。此模式利用輕量化分類器自動評估並攔截具有破壞性、不可逆或嘗試越權的工具呼叫,免去開發者頻繁手動確認的幹擾
What “ai編程” means
Wiktionaryai/ˈɑ.i/
- nounA type of three-toed sloth, Bradypus tridactylus, endemic to forests of southern Venezuela, the Guianas, and northern Brazil.
#ai編程 across platforms
every network with a public tag surfaceFollow #ai編程 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/ai編程