Archive · · Jun 2026 – Jun 2026 · Updated 00:30 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 101
Avg score 5.4 ▼ 0.3 vs all tags
Stories / month Peak 57
Jun 25 Sep 25 Dec 25 Mar 26 Jun 26
Filters · 2 tag: prompt-engineering × author: LangChain ×
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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 1 Regulation & Safety 0 Applications & Use Cases 0 Opinion & Analysis 0 Community & Events 0 Source kind
Any source kind 1 Primary (vendor) 0 Community (HN, Reddit, X) 0 Research (arXiv) 0 Repos (GitHub) 0 Top authors
AI Engineer 3 OpenHands 3 Sangmin Lee 2 Carlos Oliva Pascual 2 Andrew Hong, Jason Potteiger, Luis E. Zapata 2 kavyarani7 2 Ali Arabat, Mohammed Sayagh 1 Alex Standiford 1 Top tags
#agent-framework · 12 #multi-agent · 7 #production-agents · 4 #applications · 3 #evals · 2 #benchmarks · 2 #tool-use · 2 #developer-tools · 2 #langsmith · 2 #observability · 2 #deployment · 1 #rag · 1
Co-occurring tags
+#agent-framework · 1 +#benchmarks · 1 +#data-science · 1 +#evals · 1
1 story· Showing 1–1 · Page 1 of 1
W24 1 story · Jun 8–14
The talk identifies a concrete regression in evaluation rigor — from data-science-grounded practices to ad hoc LLM-graded metrics — and maps five specific failure modes that teams building on agents are repeating at scale.