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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 Aufrufe • vor 3 Monaten •via X (Twitter)

20 Kommentare

Profilbild von Chase
Chasevor 3 Monaten

building a loop part is must-watch, ngl

Profilbild von Alex
Alexvor 3 Monaten

I'm glad you liked it

Profilbild von Roan
Roanvor 3 Monaten

great sessions alex, thank you

Profilbild von 安叫兽|Bird🕊️ 🔶 BNB
安叫兽|Bird🕊️ 🔶 BNBvor 3 Monaten

loop engineering 这词一出来,感觉又要开新坑了

Profilbild von Morty
Mortyvor 3 Monaten

damn, add to my smart watch list, thanks Alex

Profilbild von Alex
Alexvor 3 Monaten

I really hope this will be helpful

Profilbild von Morlex
Morlexvor 3 Monaten

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

Profilbild von Alex
Alexvor 3 Monaten

Me too, Morlex

Profilbild von Nekt0
Nekt0vor 3 Monaten

That seems like a fair take

Profilbild von Adel Bucetta
Adel Bucettavor 3 Monaten

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

Profilbild von Alex
Alexvor 3 Monaten

Yeah, you're absolutely right

Profilbild von State of The Art™ - AI / AGI (e/acc)
State of The Art™ - AI / AGI (e/acc)vor 3 Monaten

Loop engineering looks cool

Profilbild von Pearl AI
Pearl AIvor 3 Monaten

The agent era is about workflows, not just conversations.

Profilbild von Yumzlef
Yumzlefvor 3 Monaten

Wow this is very impressive, the implementation is clean

Profilbild von noted
notedvor 3 Monaten

okay loop engineering is the actual framework shift

Profilbild von Minh Danh Ngo
Minh Danh Ngovor 3 Monaten

Mastering the loop

Profilbild von Marco Iannello
Marco Iannellovor 3 Monaten

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

Profilbild von Matt
Mattvor 3 Monaten

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.

Profilbild von Shashank Nidhi
Shashank Nidhivor 3 Monaten

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

Profilbild von Dipanshu Kushwaha
Dipanshu Kushwahavor 3 Monaten

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

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