
# Even Complete Beginners Can Code with AI Vibe Coding (Website Creation, Claude Code)
pickmeta
Stop asking developers every time! Create websites and various services without using expensive outsourcing!
Beginner
HTML/CSS, Node.js, MySQL
Evolve Obsidian from a simple notepad into a personal knowledge database and build an AI assistant that understands your notes and documents using Claude Code. Create custom workflows to automate repetitive tasks and complete a knowledge system where daily work and learning compound and transform into your own unique expertise.
557 learners
Level Basic
Course period Unlimited
Reviews from Early Learners
5.0
동글동글
I was already using both Claude Code and Obsidian, but I hadn't thought about using them more intelligently with LLMs until I watched this lecture, and now I'm using them very effectively. Since I was already using Obsidian to organize my daily work and meeting notes, this lecture was exactly what I needed. Being able to organize meeting content from recorded transcripts is great—this lecture was the best choice for me! I will make good use of it.
5.0
제로
The energy level is just right, and the lecture is really easy to follow.
5.0
이건머지
The content was great! The last lecture, in particular, was very helpful. It would be nice if an advanced version is released. Thank you. However, one thing that could be improved is that you repeatedly say "Now~~" (Ja~~) during the lecture, which was a bit distracting. It would be great if you could improve on this part starting from the next lecture. ㅜㅜ
Designing an Obsidian-based Personal Knowledge Database and Building a Claude Code-integrated AI Assistant
Creating reusable workflows for automating repetitive tasks
Creating a 'Personal Tech Learning Pipeline' where AI collects, summarizes, and organizes tech articles of interest
When you keep reading books, lectures, and articles, but don't know what you've actually made your own
When you want to organize what you've studied, but the time required for organizing itself feels burdensome
Articles, papers, and meeting minutes pile up every day, but you can't find them when you actually need them
When you're exhausted from having to explain the project structure, libraries, and team conventions to ChatGPT from scratch every single time cho ChatGPT về cấu trúc dự án, thư viện và quy ước của nhóm
"Why did we choose this library three months ago?" When you can't recall the reason for the decision at all
When you encounter a similar bug for the second or third time, but find yourself debugging from scratch all over again because you can't remember how you solved it last time
When you can't remember what a colleague said or decided during the last meeting những gì đồng nghiệp đã nói hoặc những quyết định đã đưa ra trong cuộc họp lần trước
This course covers how to combine these two tools to create a system where knowledge accumulates like compound interest over time.
I also saw a noticeable change in my work productivity after introducing the LLM Wiki to my development work.
The major changes I experienced are as follows.
🔹 Articles and papers collected while working are automatically organized and integrated with my existing knowledge, allowing my knowledge to grow much faster and more efficiently.
🔹 Meeting minutes, architecture decisions, and everything happening within the team are now organized and visible at a glance.
🔹 A list of troubleshooting issues encountered during development is automatically organized, ensuring that the same mistakes are not repeated in future development.
🔹 Since Claude already knows the context when you make an inquiry, prompting has become incredibly simple. (ex. "Modify it according to what was decided in yesterday's project meeting and run the test.")
Based on this experience, I will reveal the exact methods I used to build the system I am currently operating in this lecture.
Developers: Those who need a system where technical decisions, design history, and debugging records remain as searchable assets
Freelancer: Those who need integrated management while simultaneously handling development, planning, and operations alone
Students: Those who want to ensure their studied content, reading materials, and ideas don't get scattered but are built up as their own knowledge.
Planner: Those who want to derive insights from collected materials such as planning research, user interviews, and competitor analysis.
✅ Go beyond the limits of general chatbots and build your own AI assistant.
Through Claude Code, you can create an AI that understands the structure, rules, and workflows of your work.
✅ Knowledge that compounds
As time passes, you will possess knowledge that accumulates like compound interest.
✅ Personalized Custom Wiki
Based on the patterns learned in the lecture, you can directly design a wiki structure and skills tailored to your specific field, such as development, research, or planning.
My Own LLM System
Section 1
General-purpose chatbots like ChatGPT and Claude generate answers from scratch every time. In this section, we will examine the structural limitations of AI where context evaporates, explore why Obsidian is a suitable tool for creating 'knowledge assets,' and learn how to design the architecture of an LLM Wiki.
Section 2
We will quickly go over the essential Obsidian features necessary for operating an LLM Wiki and set up the first session by installing Claude Code. Then, we will learn the most important step: how to write a Claude.md file to declare your vault's structure, rules, and workflows to the AI.
Section 3
You will directly set up a vault structure based on a 3-Layer architecture and build an Ingest pipeline where the AI reads source materials and converts them into wiki pages. Additionally, you will enhance knowledge management efficiency by utilizing tag systems and linting rules.
Section 4
We will conduct a query practice session to create a Wiki where you can query accumulated knowledge and the LLM improves itself. We will cover practical application workflows, such as turning meeting minutes into assets and designing pages for querying organizational dynamics.
Section 5
Based on what we have learned so far, we will explore ways to apply the LLM Wiki to various fields. We will seek possibilities for building personalized AI assistants and expanding knowledge management systems.
Practice Environment
Obsidian is available on both Windows and macOS.
The same applies to Claude Code.
Basic text editing skills are required for writing code notes.
Prerequisites and Notices
It doesn't matter if you have no prior experience using Obsidian or Claude Code.
It will be easier to understand if you have experience using AI coding tools.
Recommended for those who understand the importance of personal knowledge management.
Who is this course right for?
Developers who use AI coding tools but want to accumulate and reuse project context
Junior and mid-level developers who want to create a "summarize-recycle" loop to prevent learning content from fading away.
Solo developers and indie makers who must handle both product development and operations within a limited timeframe
Need to know before starting?
Experience using Obsidian or general note-taking apps
Experience using AI coding tools (ChatGPT, Claude, etc.) for work
Experiences of feeling the need to organize knowledge while performing development or technical tasks.
Inflearn Verified
557
Learners
63
Reviews
21
Answers
4.7
Rating
1
Course
Sharing content for developers to survive in a time of upheaval
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youtube:
https://www.youtube.com/@pragmatic-dev
contact: team.pragdev@gmail.com
All
17 lectures ∙ (3hr 23min)
Course Materials:
All
63 reviews
4.7
63 reviews
Reviews 1
∙
Average Rating 5.0
Edited
5
I was already using both Claude Code and Obsidian, but I hadn't thought about using them more intelligently with LLMs until I watched this lecture, and now I'm using them very effectively. Since I was already using Obsidian to organize my daily work and meeting notes, this lecture was exactly what I needed. Being able to organize meeting content from recorded transcripts is great—this lecture was the best choice for me! I will make good use of it.
Hello Donggeul-donggeul! Thank you so much for your valuable review! Thank you for sharing how you applied it directly to your work. I will make sure to update the course with even more practical content! I hope you have a happy day today!
Reviews 8
∙
Average Rating 5.0
5
The content was great! The last lecture, in particular, was very helpful. It would be nice if an advanced version is released. Thank you. However, one thing that could be improved is that you repeatedly say "Now~~" (Ja~~) during the lecture, which was a bit distracting. It would be great if you could improve on this part starting from the next lecture. ㅜㅜ
Thank you for your thoughtful review, Lee Geon-meo-ji! I will provide updates regarding the advanced version soon. I will also make sure to improve upon the points you mentioned in future lectures. Thank you!
Reviews 1
∙
Average Rating 5.0
5
The energy level is just right, and the lecture is really easy to follow.
Zero! Thank you so much for your valuable review! I will continue to provide even more helpful content in the future. Have a wonderful day!
Reviews 1
∙
Average Rating 5.0
5
It was great that the course didn't just cover simple usage, but also explained the problems one might encounter when using that structure in the long term, along with the corresponding solutions. While many AI courses are introductory and based solely on official documentation, I can feel that this course has put deep thought into actual practical application. The fact that the explanations are based on specific methodologies makes it very trustworthy. It would be great if the advanced topics mentioned in the latter part of the course could be released as a follow-up lecture in the future.
Hello soosoo! Thank you for your thoughtful review. I tried my best to include the actual methods I use in practice, and I'm glad to hear that they were conveyed as intended! Yes, I will organize the advanced topics you mentioned and update the course soon, and I'll make sure to notify you through an announcement. Thank you!
Reviews 1
∙
Average Rating 5.0
5
Thank you for your valuable review, bogopha1! I hope you have a happy day today!
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