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Anthropic just released 5 Claude workshops on the new skill every AI builder needs: Loop Engineering: 00:00 - Stop babysitting your agents 37:07 - Build a proactive Claude Code loop 1:11:23 - Build a production-ready Managed Agent 1:38:46 - Teach agents to learn from your team 2:07:15 - Hill-climb...

47,626 просмотров • 3 месяцев назад •via X (Twitter)

Комментарии: 20

Фото профиля Chase
Chase3 месяцев назад

building a loop part is must-watch, ngl

Фото профиля Alex
Alex3 месяцев назад

I'm glad you liked it

Фото профиля Roan
Roan3 месяцев назад

great sessions alex, thank you

Фото профиля 安叫兽|Bird🕊️ 🔶 BNB
安叫兽|Bird🕊️ 🔶 BNB3 месяцев назад

loop engineering 这词一出来,感觉又要开新坑了

Фото профиля Morty
Morty3 месяцев назад

damn, add to my smart watch list, thanks Alex

Фото профиля Alex
Alex3 месяцев назад

I really hope this will be helpful

Фото профиля Morlex
Morlex3 месяцев назад

My favorite part it's "Teach agents to learn from your team"

Фото профиля Alex
Alex3 месяцев назад

Me too, Morlex

Фото профиля Nekt0
Nekt03 месяцев назад

That seems like a fair take

Фото профиля Adel Bucetta
Adel Bucetta3 месяцев назад

that's the part that gets lost in all the excitement around ai: making them not just work, but actually do the heavy lifting for you in prod

Фото профиля Alex
Alex3 месяцев назад

Yeah, you're absolutely right

Фото профиля State of The Art™ - AI / AGI (e/acc)
State of The Art™ - AI / AGI (e/acc)3 месяцев назад

Loop engineering looks cool

Фото профиля Pearl AI
Pearl AI3 месяцев назад

The agent era is about workflows, not just conversations.

Фото профиля Yumzlef
Yumzlef3 месяцев назад

Wow this is very impressive, the implementation is clean

Фото профиля noted
noted3 месяцев назад

okay loop engineering is the actual framework shift

Фото профиля Minh Danh Ngo
Minh Danh Ngo3 месяцев назад

Mastering the loop

Фото профиля Marco Iannello
Marco Iannello3 месяцев назад

loop engineering feels like the real shift, not just better prompts, but systems that keep agents useful without constant handholding

Фото профиля Matt
Matt3 месяцев назад

proactive loops are great until iteration 40, when the agent builds on a stale result and nobody notices till the output is wrong. the missing piece is a live check each turn, not a review after the run.

Фото профиля Shashank Nidhi
Shashank Nidhi3 месяцев назад

The loops teach agents to act, but they skip the hardest step: getting a human to sign off before the model writes back.

Фото профиля Dipanshu Kushwaha
Dipanshu Kushwaha3 месяцев назад

This is a fantastic resource for anyone working with AI. Thank you for sharing these insights on Loop Engineering.

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