Review AI coding conversations: denominators, quality, and reuse
Audit source and length denominators, false accepts and rejects, and empty samples; separate current filtering, summaries, and measured reuse.
6 posts tagged "Knowledge management".
Audit source and length denominators, false accepts and rejects, and empty samples; separate current filtering, summaries, and measured reuse.
Separate current cloud tokens from proposed member permissions; test read operations and batch approval on fixtures and define recovery responsibilities.
Verify installation, the local service, both model configurations, import, summarization, and search with the actual ChatCrystal 0.6.1 CLI.
Check source directories, event extraction, and snapshot boundaries in ChatCrystal, then verify each adapter against a conversation you know.
Export every page of ChatCrystal notes, build Obsidian links with stable IDs, and distinguish a readable snapshot from editing and incremental synchronization.
Use ChatCrystal MCP tools and task memory to build scoped, revisable agent memory, separating real tool capabilities from automation promises.
Explore ChatCrystal, developer tools and daily learning notes on my GitHub. Questions about the implementation are welcome.