#agentengineering
Live, measured metrics for the hashtag #agentengineering from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #agentengineering
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 2026-11-03 02:00 UTC1 uses by 1 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 2026-11-03 02:00 UTCNo related tags with measured usage found for #agentengineering.
Live pulse
measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-03 02:00 UTCEverything below is measured over the latest 20 public posts (spanning ~7849 hours).
Posting hours (UTC) — busiest: 14:00
Languages: English (19) · Russian (1)
Avg boosts / post: 0.1
Top of the latest posts
---------------- 🎥 Video: Agent Improvement Loops: Model, Harness, Context (Interrupt London) =================== Harrison Chase, co-founder and CEO of LangChain, gave a talk at Interrupt London on building agents that improve over time. T
Niels Rogge (@NielsRogge) Vercel의 Lee Robinson이 Stanford CS146S 강의에서 항상 실행되는 개인 AI 에이전트(always-on agent)의 동작 방식과 구현 관점을 설명하는 무료 강의를 공개했다. 개인 컨텍스트를 지속적으로 수집·처리하고 작업을 자동화하는 에이전트 설계에 관심 있는 개발자에게 참고할 만한 자료다. https://x.com/NielsRogge/status/2111
0xMarioNawfal (@RoundtableSpace) Anthropic 엔지니어가 AI 에이전트를 올바르게 구축하는 방법을 14분 분량으로 설명한 자료를 소개했다. 에이전트 설계·구현의 실전 청사진이라는 주장으로, 에이전트 개발 패턴과 운영 원칙을 찾는 LLM 애플리케이션 개발자에게 참고 가치가 있다. https://x.com/RoundtableSpace/status/2110977791701242185 #aiagents
#agentengineering across platforms
every network with a public tag surfaceFollow #agentengineering 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/agentengineering