CLAUDE.md, Obsidian, Markdown Files, and Why Workarounds Don't Scale for Teams
The article discusses the limitations of various workarounds teams use when integrating AI coding tools. It highlights the shortcomings of CLAUDE.md and Obsidian in providing effective memory and collaboration features. Ultimately, the author emphasizes the need for better solutions that can scale with team dynamics and tool diversity.
- ▪Teams often create their own hacks for using AI coding tools, which can lead to inefficiencies.
- ▪CLAUDE.md serves as a static instruction file but lacks dynamic memory and attribution for decisions.
- ▪Obsidian, while a strong personal knowledge tool, struggles with real-time multi-user editing and syncing issues.
Opening excerpt (first ~120 words) tap to expand
try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3754119) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } Abhi A Posted on May 29 • Originally published at contextcloud.pro CLAUDE.md, Obsidian, Markdown Files, and Why Workarounds Don't Scale for Teams #claude #ai #devtools #productivity Every team using AI coding tools has invented their own version of the same hack. Some put everything in CLAUDE.md and commit it to the repo. Some maintain shared Obsidian vaults. Some have a context/ folder full of markdown files that someone updates when they remember to.
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