Google’s one-hour agentic engineering class covers memory, MCP, and multi-agent systems
HeyAmit_ · x · 2026-07-24
Google’s one-hour masterclass walks through how to build AI agents from scratch, with a focus on memory, agentic loops, MCP, and multi-agent systems.
The post frames it as a practical intro rather than a research talk: the goal is to help viewers understand the building blocks of agentic engineering in a concise, easy-to-follow format.
More from coding & agent
- Codex Voice feels magical, but testers say the best setup is to hand work to stronger CLI models — jacob_posel · 2026-07-24
- Graph engineering gives Claude Code a more scalable workflow — blaizedsouza · 2026-07-24
- A Codex workflow uses the browser to run Deep Research across ChatGPT, Claude, and Gemini — JeremyNguyenPhD · 2026-07-24
- AI agents need five layers, not just prompt engineering — blaizedsouza · 2026-07-24
- Builder rebuilds a Claude Code software factory around planning, implementation, review — blaizedsouza · 2026-07-24
- Default Codex CLI with GPT-5.5 scores 92.3% on XBOW, sparking benchmark fatigue — moyix · 2026-07-24