X postAnatoli KopadzeTalk
As development teams increasingly implement autonomous agents, understanding control loops and failure modes becomes critical. Insights from practitioners at labs like DeepMind help demystify the architectural pitfalls.
The post serves as a concise recommendation pointing to an external talk. While specific technical parameters are not detailed in the text itself, the author emphasizes the quality and clarity of the explanations regarding agent loops over paid training materials.
Anatoli Kopadze
@AnatoliKopadze · 27 June 2026
A Google DeepMind engineer just explained why even senior devs fail at building AI agents. This is the clearest explanation of how agents and loops actually work you'll find anywhere. People are paying $500 for courses that teach less than this 11-minute talk. Watch it, then… t.co/zOjZrttPPI pic.twitter.com/CoTlSQwY23
Summary generated by AI (Gemini 3.8 Flash, 27 September 2026). It may contain errors – the original source is authoritative.
Similar in content, found by the AI search.
VideoVideo:AI Engineer
Google DeepMind's Philipp Schmid explains why AI agent skills require systematic evaluation suites and how to build lightweight eval harnesses. Drawing on data from SkillsBench and internal practices at Google, he outlines how to write, structure, test, and eventually deprecate skills as foundation models improve.
X post:0xMarioNawfal
According to a post by 0xMarioNawfal, Anthropic has released a free educational course on Loop Engineering aimed at developers working with AI agents.
X post:Luna Tech
Luna Tech highlights a one-hour OpenAI workshop demonstrating how to build agentic systems with Codex from scratch, covering subagents, prompt patterns, persistent goals, and automated loops.
4kbookmarks151.7kviews
X post:dex
This post highlights a popular video deep dive into building with agents at HumanLayer, which has gained significant traction with over 200,000 views in three weeks. The content focuses on practical, operational details of agentic workflows, drawing interest from developers looking for actionable insights rather than high-level theory.
165bookmarks8.4kviews
X post:Mahax
Mahax highlights a one-hour Anthropic workshop on building with AI in 2026 alongside a comprehensive companion guide covering AI agents, loops, and architecture.
493bookmarks45.4kviews
X post:LangChain
LangChain announced a live workshop for 17 September focused on building custom Deep Agents.
75bookmarks320.9kviews
Parts of this content were created with the assistance of AI.
