davelradindra
davelradindra on Hacker News
Really interesting approach. Having a human in the loop seems like the right tradeoff given where computer-use models are today. One thing that came to mind is that this can be a new interface for software learning. If it works reliably, I could see it replacing static docs and videos!
It is on Open VSX so you can download it directly from Cursor!
It's available on Open VSX now!
Will make it open source soon!
Thanks! Shoot me a message if you would like to have something added :)
X: @Davellele
This is what I do previously too! The problem that I realize with them is that mermaid diagrams and flowcharts are static and sometimes oversimplified.
We were thinking of creating an MCP Server that could integrate well with the visualizer extension so that you'd understand the cluster visually and descriptively, so watch out for that! :)
X: @Davellele
We will make it open source soon! Follow me on X (@Davellele) to be updated when we do :)
We are actively improving on the performance! Also, I am a previous code canvas user too, but I felt like it didn't help me understand my codebase as much as I wanted it to.. that's why I decided to experiment something myself! :)
We will make this project open source soon!
Will be open source soon!
Posted by
davelradindra on Tuesday January 13, 2026 @01:43PM
from the show-hn dept.
https://marketplace.visualstudio.com/items?itemName=Nogic.nogic
I built Nogic, a VSCode extension currently, because AI tools make code grow faster than developers can build a mental model by jumping between files. Exploring structure visually has been helping me onboard to unfamiliar codebases faster.It’s early and rough, but usable. Would love feedback on whether this is useful and what relationships are most valuable to visualize.
Posted by
davelradindra on Monday December 08, 2025 @01:08PM
from the show-hn dept.
https://marketplace.visualstudio.com/items?itemName=Nogic.nogic
I’ve been working on a VS Code extension called Nogic that indexes your project and turns it into an interactive graph of files, symbols, imports, calls, and references. The goal is simple: make it much easier for developers to understand how a codebase fits together, especially now that AI is generating more code than ever.