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vibecoding<br>joinleaveA community of software creators experimenting with AI "vibe coding", an technique defined by Andrej Karpathy as when, "you fully give in to the vibes, embrace exponentials, and forget that the code even exists."

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Got my new dev keyboard!<br>118 &middot; 48 comments<br>Vibecoding is a godsend to neuro divergent people. My game got a publisher and other financing sources<br>&middot; 31 comments<br>0:52

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I Reimplemented the Core Workflows of 40 Multi-Agent LLM Papers - Here’s What I Learned (self.vibecoding)<br>submitted 6 minutes ago by OkBreath9382

I recently re-implemented the core algorithm of 40 multi-agent LLM papers, Reflexion, Tree of Thoughts, Graph of Thoughts, LATS, MetaGPT, ChatDev, Mixture-of-Agents, CodeT, Constitutional AI, DyLAN, AgentVerse, and more, as standalone reference scripts.

My goal was understanding the workflow, not reproducing the benchmarks: each script expresses the paper's loop, roles, and aggregation rule, and stays generic over the task we give it.

Lessons that survived 40 implementations:

Most papers are a loop shape + a prompt discipline + an aggregation rule.  Median implementation was ~100 lines with h5i-python SDK. I now read new agent papers by looking for those three things first.

Independence is important.  Self-consistency, CodeT, and CoVe all silently require samples that never saw each other. In shared-context frameworks, this breaks by accident.

The refine loops are one algorithm.  Self-Refine / Reflexion / CRITIC / Self-Debug / Constitutional AI differ only in where feedback comes from (a critic, your own reflection, tools, your own code walkthrough, written principles). Make feedback a first-class object and it's one function with a parameter.

Aggregation rules are ~10 lines and are the actual paper.  Majority vote, confidence-weighted vote, mean-of-judges, approval counting, pairwise wins. For pairwise judging: present both orders and only count wins that survive the swap, or position bias eats your ranking.

The debate literature is a visibility function.  Who sees whose messages between rounds (bus/star/ring/tree, per Exchange-of-Thought)

a stopping rule + a vote. That's the whole design space.

Honest meta-lesson: 40 papers ≈ 8 families.  Refine loops, sample-and-vote, debate, judge panels, fusion, search-then-commit, staged pipelines (software and long-form writing), dynamic team management. Implement those eight, parameterize, and you cover most of the literature.

Repo: https://github.com/h5i-dev/h5i-python (see examples/papers/, one file per paper)

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