#aicodequality

Live, measured metrics for the hashtag #aicodequality 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 #aicodequality

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.

$5.00/ year · 13-character #name
Claim #aicodequality — $5.00/yr→Buy on hashtag.space (web3)
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
2
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 2
0
Avg reactions / post
Mastodon · last 2
—
Reddit posts / month
Reddit search
—
Open-web mentions
hashtag.org Firehose

Day-by-day usage

measured · mastodon.online (Mastodon public tags API) · fetched 2026-11-03 12:04 UTC
0
10-28
0
10-29
0
10-30
0
10-31
0
11-01
0
11-02
0
11-03

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 2026-11-03 12:04 UTC

No related tags with measured usage found for #aicodequality.

Live pulse

measured · mastodon.online (Mastodon tag timeline) · fetched 2026-11-03 12:04 UTC

Everything below is measured over the latest 2 public posts (spanning ~1771 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (2)

Avg boosts / post: 0

Top of the latest posts

  • 73.5% of AI-Generated Code Has These 9 Smells — Taxonomy and Detection Guide 2026 Three papers landed on arXiv in May 2026 — all studying the same phenomenon from different angles. The finding they converge on changes how you should review

    WowHow@[email protected]♥ 0↻ 02026-08-25 12:00 UTCView post →

  • AI Engineering the Acceleration Whiplash Faros.ai의 AI Engineering Report 2026은 AI 도입이 개발 생산성을 크게 높였지만, 코드 품질과 안정성 문제도 심각하게 증가했음을 보여줍니다. AI가 코드 작성의 주체가 되었고, 작업 시작은 쉬워졌으나 완료와 리뷰 과정에서 병목과 품질 저하가 발생해 버그와 프로덕션 장애가 급증했습니다. 숙련된 엔지니어들은 AI가 생성한 코드의

    ainews@[email protected]♥ 0↻ 02026-06-12 16:41 UTCView post →

#aicodequality across platforms

every network with a public tag surface

Follow #aicodequality 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/aicodequality