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Don't waste 2 years learning to code. Thariq Shihipar, the Anthropic engineer who built Claude Code tells you what to learn instead. 1 hour course. Free: 00:00 - build AI agent with loops 40:47 - prompting Claude with HTML 1:15:07 - Anthropic's coding playbook Writing code is the old... show more

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60,771 views • 1 month ago •via X (Twitter)

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Don't waste 2 years learning to build AI agents. An Anthropic engineer who built Claude Code tells you what to learn from scratch instead. 60 minutes course. Free: 00:00 - AI agent architecture 24:47 - LangGraph AI agent 29:15 - building AI agents live Prompting is the old job. Building AI agent loops is the new one. Bookmark now & watch it. Then build your own AI agent with the guide below.

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The Claude Code SDK is now the Claude Agent SDK Why? Because we realized the Claude Code agent harness is useful for much more than coding. In fact, we're moving to using it to power most of our own agent loops at Anthropic.

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My friend applied to 250 tech jobs in two years. No MIT. No Stanford. Last month Anthropic offered him $750,000. I asked him how he broke in from zero. He sent me the exact video that got him in. Anthropic's 2-hour course on how to become an AI engineer in 2026. Thariq Shihipar shows you exactly how to build AI agents from scratch. I watched it last night. Halfway through, I realized I could break into an AI lab in months, not years. Bookmark this and read the article below. • 00:00 - AI agent harness • 23:44 - building AI agent loops • 56:39 - AI agent context engineering • 1:33:34 - AI agent deterministic hooks • 1:50:31 - Anthropic SWE interview process

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712,397 views • 2 months ago

Anthropic's Claude team just showed how to build an AI agent with real memory in under 30 minutes. 24-minutes. free. by the people who built Claude. worth than $500 vibe-coding course. Bookmark & replace one movie today with this course, then read the complete article below.

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174,536 views • 4 months ago

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rari

43,293 views • 1 month ago

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Google just released a free 2-hour course on full Graph Engineering. How to go from one prompt to 100 agents running inside one graph: 17:44 - Build your first AI agent 39:30 - Run agents with loop engineering 1:12:38 - Turn agent loops into graphs 1:34:26 - Build agents that throttle themselves 1:55:05 - Orchestrate the full multi-agent system Most people build one agent and stop there. Google is teaching the full stack: Prompt → Agents → Loops → Graphs → Multi-Agent Systems Single agents are the old workflow. Self-regulating agent graphs are the new one. This 2-hour watch is worth more than most paid agent engineering courses. Bookmark and watch it today Then read the full architecture below ↓

Lunar

402,731 views • 1 month ago