#aicoding
Live, measured metrics for the hashtag #aicoding from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #aicoding
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 2026-10-15 10:23 UTC25 uses by 21 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 2026-10-15 10:23 UTCLive pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-10-15 10:23 UTCEverything below is measured over the latest 40 public posts (spanning ~264 hours).
Posting hours (UTC) — busiest: 22:00
Languages: English (36) · Chinese (1) · Italian (1) · German (1)
Avg boosts / post: 0.4
Top of the latest posts
Soumya (@soumyadesign) Gemini 앱, Antigravity, Google AI Studio를 활용해 Three.js와 커스텀 GLSL 레이마칭 셰이더 기반의 인터랙티브 3D 구름 시뮬레이터를 약 35분 만에 제작했다는 사례다. 프롬프트만으로 웹 그래픽·셰이더 구현까지 생성하는 AI 코딩 워크플로를 보여준다. https://x.com/soumyadesign/status/2110419562940498176 #
Anthropic은 AI 에이전트의 코드 변경 급증으로 개발 인프라가 병목이 되자, 5개월 만에 모노레포를 Git에서 자체 시스템 Scion으로 이전했다. 서버 중심 구조로 하루 3만 건 이상 병합을 지원하고, 기존 Git 미러 대비 CPU·메모리 요구량을 200분의 1로 줄였다. 에이전트 작업 트리 생성은 7.1분에서 5.1초로 단축됐다. 수치는 Anthropic 내부 환경 기준이며, Scion은 범용 Git 대체재가 아니라
https://winbuzzer.com/2026/10/13/metas-wonder-ai-models-improve-coding-test-scores-xcxwbn/ Meta’s new Muse Wonder AI model achieves 68 on the Artificial Analysis Coding Agents Index at max effort in Muse Code, alongside Claude Code with Son
#aicoding across platforms
every network with a public tag surfaceFollow #aicoding 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/aicoding