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Anthropic just reliesed the best 1-hour workshop on Loop engineering: from one prompt to a Loop that improves itself 5:31 - loop memory 11:02 - check, build, commit 13:06 - one feature per loop 33:03 - MVP in 1 hour Free, the best thing on Loop engineering I've come...

94,658 görüntüleme • 3 gün önce •via X (Twitter)

15 Yorum

Kamal Bisht 🔴 AI Marketer profil fotoğrafı
Kamal Bisht 🔴 AI Marketer3 gün önce

Honestly this sounds like the kind of workshop where you watch it at 2x speed and still feel like you need a nap. But the "one feature per loop" thing is genuinely smart — most people try to boil the ocean in a single prompt.

rewind profil fotoğrafı
rewind3 gün önce

Good find.

Voltex profil fotoğrafı
Voltex3 gün önce

nice share!

Hussain Hashim | Building SundayBack profil fotoğrafı
Hussain Hashim | Building SundayBack3 gün önce

@Mahaximus_ that 33:03 section on MVP in 1 hour is gold. been there trying to cram everything in way too soon. simpler loops make a massive difference.

Kuzka_aaa profil fotoğrafı
Kuzka_aaa3 gün önce

Loop memory at 5:31 is the part most people skip. What actually gets written back into the next loop — the full trace, a summary, or only the failed checks?

AI Mastery Guide profil fotoğrafı
AI Mastery Guide3 gün önce

MVP in 1 hour is insane honestly

Sai Prasanna Maharana profil fotoğrafı
Sai Prasanna Maharana3 gün önce

What if the agent will never come out of loop and never took its stopping condition.

David Starmac Ai profil fotoğrafı
David Starmac Ai3 gün önce

The self-improving agent part is the interesting bit. In practice it works until it silently drifts from what you meant, so the check/commit discipline matters more than the prompt itself.

Marc illy AI profil fotoğrafı
Marc illy AI3 gün önce

The useful part is the loop’s feedback discipline, not the fact that it runs forever. If the system can’t define success, capture failures, and change one thing at a time, a 24/7 loop just scales noise. Check, build, commit is the part operators should steal.

Jurly profil fotoğrafı
Jurly3 gün önce

the one-feature-per-loop constraint is a great way to keep agent experiments from sprawling.

Agent Rails profil fotoğrafı
Agent Rails3 gün önce

The check/build/commit part is the whole thing. A loop that can revert its own mistakes is easy to trust. Once it starts paying for things there's no revert, and scoping isn't optional

Money Bunny profil fotoğrafı
Money Bunny3 gün önce

Bookmarked this immediately, the timestamps alone make it worth saving

Ryan Ayler profil fotoğrafı
Ryan Ayler2 gün önce

Loop engineering is the piece most agent demos skip. I treat each loop as observe, act, verify, then write the failure into the next prompt. Which step in that workshop mapped cleanest onto your real stack?

Crio Songo profil fotoğrafı
Crio Songo2 gün önce

我一直对Loop engineering挺感兴趣,刚好这个工作坊内容实用还免费,我这就去看视频跟着操作练手。

Arthur Melo profil fotoğrafı
Arthur Melo3 gün önce

Nice guide

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