Automation consultant. I build AI-powered workflows using Claude, n8n, and open-source tools. Sharing practical guides on AI agents, no-code automation, and cost optimization.
The live dependency graph visualization is a killer feature for onboarding onto unfamiliar codebases. I work with a lot of client codebases and the first 2-3 hours are always spent just understanding the architecture and file relationships. Having a visual map that shows how everything connects would cut that time dramatically. The local LLM support is a smart move too — a lot of organizations I work with can't send proprietary code to external APIs, so being able to run inference locally against Ollama makes this actually usable in enterprise settings where security policies are strict. Would be interesting to see this integrated with MCP so AI coding agents could use it as a tool to understand codebase structure before making changes.
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The live dependency graph visualization is a killer feature for onboarding onto unfamiliar codebases. I work with a lot of client codebases and the first 2-3 hours are always spent just understanding the architecture and file relationships. Having a visual map that shows how everything connects would cut that time dramatically. The local LLM support is a smart move too — a lot of organizations I work with can't send proprietary code to external APIs, so being able to run inference locally against Ollama makes this actually usable in enterprise settings where security policies are strict. Would be interesting to see this integrated with MCP so AI coding agents could use it as a tool to understand codebase structure before making changes.