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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 Aufrufe • vor 3 Tagen •via X (Twitter)

15 Kommentare

Profilbild von Kamal Bisht 🔴 AI Marketer
Kamal Bisht 🔴 AI Marketervor 3 Tagen

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.

Profilbild von rewind
rewindvor 3 Tagen

Good find.

Profilbild von Voltex
Voltexvor 3 Tagen

nice share!

Profilbild von Hussain Hashim | Building SundayBack
Hussain Hashim | Building SundayBackvor 3 Tagen

@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.

Profilbild von Kuzka_aaa
Kuzka_aaavor 3 Tagen

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?

Profilbild von AI Mastery Guide
AI Mastery Guidevor 3 Tagen

MVP in 1 hour is insane honestly

Profilbild von Sai Prasanna Maharana
Sai Prasanna Maharanavor 3 Tagen

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

Profilbild von David Starmac Ai
David Starmac Aivor 3 Tagen

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.

Profilbild von Marc illy AI
Marc illy AIvor 3 Tagen

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.

Profilbild von Jurly
Jurlyvor 3 Tagen

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

Profilbild von Agent Rails
Agent Railsvor 3 Tagen

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

Profilbild von Money Bunny
Money Bunnyvor 3 Tagen

Bookmarked this immediately, the timestamps alone make it worth saving

Profilbild von Ryan Ayler
Ryan Aylervor 2 Tagen

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?

Profilbild von Crio Songo
Crio Songovor 2 Tagen

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。

Profilbild von Arthur Melo
Arthur Melovor 3 Tagen

Nice guide

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