#程式碼生成
Live, measured metrics for the hashtag #程式碼生成 from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #程式碼生成
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.online (Mastodon public tags API) · fetched 2026-08-23 11:56 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.online (Mastodon public search API) · fetched 2026-08-23 11:56 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-08-23 11:56 UTCEverything below is measured over the latest 40 public posts (spanning ~23045 hours).
Posting hours (UTC) — busiest: 00:00
Languages: Chinese (Taiwan) (39) · Chinese (1)
Avg boosts / post: 0
Top of the latest posts
🌘 GPT-5.6、Grok 4.5、Claude 與 Muse Spark：四款 AI 模型打造相同應用程式的對決 ➤ 誰是編碼之王？十二款 AI 模型實戰開發對決 ✤ https://www.tryai.dev/blog/gpt-5.6-build-off-12-models 本文詳細記錄了一場針對十二款主流 AI 模型的程式編寫壓力測試。為了回應社羣對上一期測試的反饋，作者擴大了評測規模，納入 GPT-5.6（Sol、Terra、Luna 三個版本）、Meta 的 M
🌖 極簡化自我蒸餾技術：提升大型語言模型程式碼生成效能 ➤ 無需外部資源，僅靠模型自身迭代即可突破編碼效能瓶頸 ✤ https://arxiv.org/abs/2604.01193 本研究探討如何利用大型語言模型（LLM）自身的輸出，在無需額外驗證機制、教師模型或強化學習的情況下，有效提升程式碼生成能力。研究團隊提出了「簡單自我蒸餾」（Simple Self-Distillation, SSD）技術，透過特定的溫度與截斷設定採樣模型輸出，並進行標準監督式微調。實驗顯示，該方
🌘 SWE-CI：透過持續整合評估 AI 代理維護程式碼庫的能力 ➤ 從單次修復轉向長期維護：定義軟體開發 AI 的新標竿 ✤ https://arxiv.org/abs/2603.03823 目前以 LLM 為基礎的 AI 代理在單次程式碼修復任務上表現出色，但在真實開發情境中，軟體維護往往涉及長期的迭代與複雜的變更需求。為了彌補現有評估指標（如 SWE-bench）的不足，研究團隊提出了 SWE-CI，這是首個基於「持續整合（CI）」循環的儲存庫層級基準測試。該基準涵蓋
#程式碼生成 across platforms
every network with a public tag surfaceFollow #程式碼生成 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/程式碼生成