Archive · · Jun 2026 – Jun 2026 · Updated 23:31 UTC
Archive Every processed story in chronological order, with the newest coverage first. Filter by tag, source, or score to drill in.
Total · all-time 17
Avg score 6.2 ▲ 0.5 vs all tags
Stories / month Peak 15
Jun 25 Sep 25 Dec 25 Mar 26 Jun 26
Filters · 2 tag: evaluation × author: Po-Shin Chen ×
Category
All categories 1 New Models & Releases 0 Agent Frameworks & Tools 0 Agentic Coding 0 Research Papers 0 Open Source 0 Industry & Business 0 Infrastructure & MLOps 0 Tutorials & How-To 0 Regulation & Safety 0 Applications & Use Cases 1 Opinion & Analysis 0 Community & Events 0 Source kind
Any source kind 1 Primary (vendor) 1 Community (HN, Reddit, X) 0 Research (arXiv) 0 Repos (GitHub) 0 Top authors
Ahmet Özel 1 Alexey Khoroshilov, Alexey Chernysh, Orkhan Ekhtibarov 1 Deepak Akkil, Ravi Kokku, Karthik Vikram 1 Hongcheng Gao, Hailong Qu, Jingyi Tang 1 Lu Jia, Haibo Tong, Feifei Zhao 1 Maria I. Gorinova, Macey Baker, Amy Heineike 1 Mengyu Zheng, Kai Han, Boxun Li 1 AI Engineer 1 Top tags
#agent-framework · 1 #debugging · 1 #developer-tools · 1 #evaluation · 1 #root-cause-analysis · 1
Co-occurring tags
+#agent-framework · 1 +#debugging · 1 +#developer-tools · 1 +#root-cause-analysis · 1
1 story· Showing 1–1 · Page 1 of 1
W25 1 story · Jun 15–21
Strands Evals provides structured, automated root cause analysis for AI agent failures — including confidence scores, causal chains, and targeted fix recommendations — replacing ad-hoc manual debugging in evaluation pipelines.