Archive · · Jun 2026 – Jun 2026 · Updated 00:06 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 15
Avg score 5.4 ▼ 0.4 vs all tags
Stories / month Peak 9
Jun 25 Sep 25 Dec 25 Mar 26 Jun 26
Filters · 2 tag: governance × author: AI Engineer ×
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 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
@joaomdmoura 1 AI Engineer 1 Jangwook Kim 1 Kuldeep Paul 1 Practical AI LLC 1 Ricardo Rodrigues 1 Sam 1 Siddharth Sambharia 1 Top tags
#agent-framework · 10 #mcp · 5 #developer-tools · 5 #tool-use · 4 #prompt-engineering · 3 #developer-culture · 2 #benchmarks · 2 #open-source · 2 #security · 2 #observability · 2 #monitoring · 1 #agentic-coding · 1
Co-occurring tags
+#agent-framework · 1 +#multi-agent · 1 +#observability · 1 +#production-deployment · 1
1 story· Showing 1–1 · Page 1 of 1
W25 1 story · Jun 15–21
The talk reframes enterprise AI deployment failures as systemic infrastructure gaps — not model selection problems — showing that observability, evaluation pipelines, and governance tooling must be built before a model is even chosen.