fivetaku

바선생 - 바이브코더를 위한 AI 멘토 에이전트

23
5
100% credibility
Found Feb 20, 2026 at 19 stars -- GitGems finds repos before they trend. Get early access to the next one.
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AI Analysis
Python
AI Summary

A script that transforms raw logs from Claude AI coding sessions into readable Markdown files organized by project, with metadata summaries and an index, plus a knowledge base for non-coders.

How It Works

1
💡 Discover the chat organizer

You hear about this friendly tool that turns your raw AI coding conversations into easy-to-read notes and stories.

2
📁 Gather your past chats

You find the folder on your computer where your AI helper saved all those coding session logs from different projects.

3
Launch the organizer

You simply run the tool, and it quietly sorts and pretties up all your chats into organized documents.

4
📂 See new folders appear

Magic happens as folders for each project pop up, each holding neat files with dates and details.

5
📋 Browse the welcome index

Open the main index page to get a bird's-eye view of all your projects, session counts, and time periods.

6
📚 Explore the learning guides

Dip into the helpful guides on avoiding mistakes, better asking questions, and tracking your progress.

🎉 Enjoy your personal archive

Now you have a beautiful collection of your AI coding journey to review, learn from, and celebrate your growth.

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Star Growth

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AI-Generated Review

What is vibe-sunsang?

vibe-sunsang is a Python tool that converts raw JSONL logs from Claude Code sessions into clean Markdown files, preserving human-AI conversations while summarizing tool uses like file reads or Bash commands. It pulls metadata on models, tokens, and timestamps into frontmatter, generates dated session docs per project, and builds an INDEX.md overview of all your coding retrospectives. Non-devs get a bonus knowledge base with guides on prompt engineering, antipatterns, and growth tracking tailored for vibe coders using AI mentors like sunsang.

Why is it gaining traction?

It skips the hassle of parsing messy logs manually, offering incremental conversion that only updates changed sessions and CLI flags like --verbose for full tool results or --force for full rebuilds. Developers notice the readable format instantly—frontmatter for quick scans, tool previews to avoid fluff—making it dead simple to review past AI coding flows without digging into JSON. The vibe-focused knowledge base hooks beginners by turning scattered sessions into structured learning artifacts.

Who should use this?

Non-technical makers prototyping with Claude Code who want to retrospective their "vibe coding" sessions without getting lost in logs. Indie hackers or bootcamp grads tracking AI-assisted project growth, especially when auditing prompts or tool patterns across multiple experiments. Python tinkerers evaluating sunsang-style AI mentoring workflows before scaling.

Verdict

Try it if you're deep into Claude Code and need session exports—it's a focused Python script that just works via CLI for quick Markdown archives. With 17 stars and 1.0% credibility score, it's early-stage and lightly documented, so expect to tweak paths for your setup, but the core converter delivers immediate value for personal use.

(198 words)

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