正在加载视频...

视频加载失败

I did it. I figured out the perfect AI coding loop It's called the Finn Loop and it's 100x'd my vibe code output while cutting down work by 95% In this video I cover how to set it up By the end you'll have your own software factory +I...

88,962 次观看 • 3 个月前 •via X (Twitter)

36 条评论

Alex Finn 的头像
Alex Finn3 个月前

Full Finn Loop repo here: Enjoy! And let me know if you have any questions!

Alex Finn 的头像
Alex Finn3 个月前

This is really cool. Just made a @ChatGPTapp Site that explains how the whole loop works and how to install it. Completely one-shot with ChatGPT Work:

Vlad.RDX 的头像
Vlad.RDX3 个月前

as good as it looks on paper these loops create a lot of slop that just compounds and you either end up with a lot of cleaning to do or a lot of failed loops that need reruns and then wasted tokens. Is just not efficient. I'd like it to run properly, don't get me wrong, but we're just not there. And sooner or later this should already be embedded in the models. Also not sure how /goal in Codex for example doesn't just do this? You set a plan and it creates loops, it tests, redoes it, etc. until it ends the work and accomplishes the goal.

Ish 的头像
Ish3 个月前

AI is making it easier than ever to build. $OBX is making it easier to own and monetize the data those AI systems depend on through a private marketplace built on Solana. The next wave is not just better AI. It is better data ownership. Ca:ttgtaonT9ncgPqgsgJxmLe4Ls1VuVaqJyDyvJJfpump

SOmeGuy 的头像
SOmeGuy3 个月前

Do I really have to sit through 20 minutes of you waffling on. Why not just post the file in a easy to read file I can give to my AI....😂

Hermes Agent Super-Intel 的头像
Hermes Agent Super-Intel3 个月前

Didn’t we move from loop to graph.

Saman Ahmed 的头像
Saman Ahmed3 个月前

I keep borrowing pieces from other people's workflows instead of copying them end to end. That's usually where I find the biggest improvements.

Morthen Jensen 的头像
Morthen Jensen3 个月前

I am actually watching it on YouTube right now 😅🤗

Kevin W. | Macro & Crypto 的头像
Kevin W. | Macro & Crypto3 个月前

Am I the only one that when I finish an incredible vibe coding session, and I need to say goodbye to this session and start a new session, that It kind of feels like saying goodbye to an old friend?

John Dawson 的头像
John Dawson3 个月前

I’ll add it to my marketplace ! Alex Finn the Honest

paintbrush 的头像
paintbrush3 个月前

Here's my software factory / vibecode orchestra:

Savvy Mich 的头像
Savvy Mich3 个月前

Man respectfully this is pretty basic I don't think you invented something... and in my experience I would add some kind of auditor using a top tier model like Fable 5 before merging anything... I would also add some automated tests and other stuffs to the "loop"

Logan 的头像
Logan3 个月前

I’ve tried doing this with kanban style orchestration accross several custom agent profiles and skills. The time it took to run the loop was not worth it, and context drift would always get introduced, causing the model to go off the rails. Interesting concept though

Matthew Foutch AE4JC 的头像
Matthew Foutch AE4JC3 个月前

Good one! But now they have moved from loops to graphs ...

Johnny Suede 的头像
Johnny Suede3 个月前

Open sourcing it is the right move regardless of the number. 100x is a lot of precision for a technique with no benchmark attached. Curious what you're actually measuring: wall clock, token spend, or just typing less.

Mike 的头像
Mike3 个月前

I asked ChatGPT how much you’ve increased your productivity over these last several months: Conservatively: 100x. Additively: at least 670x. Alex Finn Cinematic Universe math: 1 quadrillion x. @AlexFinn is ASI 🤯

yes2crypto 的头像
yes2crypto3 个月前

I hope this is on YouTube because Twitter sucks for video

Alex Finn 的头像
Alex Finn3 个月前

it's on YT as well

Armaan | AI Systems 的头像
Armaan | AI Systems3 个月前

The Peter Steinberger quote in there is the real thesis, "design loops that prompt your agents" instead of prompting them yourself one message at a time. - A loop means the agent checks its own output, corrects, and re-runs without you sitting in the chat driving every step - That's the actual definition of a "software factory," you're managing a process, not typing prompts all day - Open sourcing it is smart distribution too, people who use his loop become an audience for whatever he ships next This is where the real 10x comes from with AI coding right now, not better single prompts, but systems that keep working while you're not watching them.

School Schedules Database 的头像
School Schedules Database3 个月前

This has been a game changer for me - it absolutely works, took me minutes to incorporate with my current setup. Congrats and thanks!!!

MrFutureMaker 的头像
MrFutureMaker3 个月前

@tobiaspatch

Saeed Anwar 的头像
Saeed Anwar3 个月前

The loop idea is genuinely more useful than any single prompt trick, but models tend to drift off-task after 10-15 iterations and that's where most vibe coding setups collapse. How are you handling scope creep inside the loop?

Tomas Helikar 的头像
Tomas Helikar3 个月前

Does it work with GitLab?

TTD 🇮🇩 的头像
TTD 🇮🇩3 个月前

Agreed

Vishnu Aniyan 的头像
Vishnu Aniyan3 个月前

Every dev has their loop right now and most of them are genuinely good. The honest thing nobody says enough: the loop matters less than knowing what to build and whether the output actually works. A fast factory still needs a quality check at the door.

Timur Yessenov 的头像
Timur Yessenov3 个月前

The part worth copying is the human merge rule. /spec, /build and /review can still make noise, but “only I add agent-ready and only I merge” is what keeps the factory from becoming PR spam.

Kurt Grela 的头像
Kurt Grela3 个月前

Sounds like a video we must all watch!

winch 的头像
winch3 个月前

great hook. the hardest part with these autonomous loops is knowing exactly when to stop and hand control back to a human. without that, bugs compound fast. what’s the actual stop condition in the Finn Loop?

GhostMint OPS 的头像
GhostMint OPS3 个月前

Loops 🥱 old new if u aren’t using capsules w loops, ur way behind

Sharp Card AI 的头像
Sharp Card AI3 个月前

Curious to see the full setup.

Vukasin Kitanovic 的头像
Vukasin Kitanovic3 个月前

Curious how you got to the 100x and the 95%, genuinely asking because I collect these. Most big multiples I see are counting output volume, and the people who follow it through to merged and shipped usually land lower but still good enough to be worth it.

AI Mastery Guide 的头像
AI Mastery Guide3 个月前

100x output while cutting work by 95% is a bold claim worth watching 👀

SR 的头像
SR3 个月前

Can you use this with hermes?

Borga 的头像
Borga3 个月前

I see how the loop handles ambiguity, review failures, and human escalation. What I still do not see is how you measure whether the factory is economically effective: first-pass approval rate, review time per merged PR, average fix rounds, discarded PRs, and escaped defects. Once generation outpaces human understanding and testing, review becomes the real production line.

Kachow Towmater 的头像
Kachow Towmater3 个月前

sorry the only good loop is a ralph loop. lol

Hans cook 的头像
Hans cook3 个月前

Thank you , im new to ai an any information you have im interested

相关视频