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Clief Notes

41.5k members • Free

3 contributions to Clief Notes
Organization while using ICM
Hello everyoneone šŸ‘‹ I just started implementing ICM in personal and work projects, but I did find that my main directory with the Claude, context, and reference files has been clutered with tons of file šŸ˜®ā€šŸ’Ø What do you usually do to keep your project folders clean and easy to navigate šŸ¤”?
How to do research?
I am wondering if there is an ICM framework for doing research? For example, if I am researching a topic, i want to know the top websites, apps, books, authors, criticism, demographics, etc. for that topic or domain. What are you all using? Can you show me examples? Is this a workflow that someone could or would build out and license/sell?
How to do research?
1 like • 14d
I usually would ask Claude or manus 😬, but if i would suggest a workflow it would first search the main keywords for the topic you are researching then find the source that focuses on all keywords
Mind Bending - You Don't Want To Pass This By
I started by searching our community and didn't find anything. As I learned today, this GitHub repo has blown up 0 - 60K stars in less than 6 weeks. UNDERSTAND ANY CODEBASE IN MINUTES! https://github.com/Egonex-AI/Understand-Anything Graphs that teach > graphs that impress. Turn any code into an interactive knowledge graph you can explore, search, and ask questions about. Works with Claude Code, Codex, Cursor, Copilot, Gemini CLI, and more. --------------------------------------------------------------------------------------------------------- EXPLORE THE STRUCTURAL GRAPH Navigate your codebase as an interactive knowledge graph — every file, function, and class is a node you can click, search, and explore. Select any node to see plain-English summaries, relationships, and guided tours. UNDERSTAND BUSINESS LOGIC Switch to the domain view and see how your code maps to real business processes — domains, flows, and steps laid out as a horizontal graph. ANALYZE KNOWLEDGE BASES Point /understand-knowledge at a Karpathy-pattern LLM wiki and get a force-directed knowledge graph with community clustering. The deterministic parser extracts wikilinks and categories from index.md, then LLM agents discover implicit relationships, extract entities, and surface claims — turning your wiki into a navigable graph of interconnected ideas. FEATURES 🧭 Guided Tours Auto-generated walkthroughs of the architecture, ordered by dependency. Learn the codebase in the right order. šŸ“Š Diff Impact Analysis See which parts of the system your changes affect before you commit. Understand ripple effects across the codebase. šŸ—ļø Layer Visualization Automatic grouping by architectural layer — API, Service, Data, UI, Utility — with color-coded legend. šŸ” Fuzzy & Semantic Search Find anything by name or by meaning. Search "which parts handle auth?" and get relevant results across the graph.
Mind Bending - You Don't Want To Pass This By
2 likes • 17d
Great asset! This will help me show my colleges at work how my code functions This will help me be more relaxed on holidays šŸ˜…
1 like • 17d
@David Vogel thanks alot David, I am glad to be here with such ambitious people
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Ali Nasser
2
13points to level up
@ali-nasser-8660
I am Ali Nasser, an Robotics and Automation Engineer with a keen interest in learning how to use the agentic AI wave to my advantage 😁

Active 5m ago
Joined Jun 20, 2026
Oman
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