Show HN: Nogic – VS Code extension that visualizes your codebase as a graph (marketplace.visualstudio.com)

135 points by davelradindra ↗ HN
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.

41 comments

[ 3.6 ms ] story [ 76.3 ms ] thread
Nice, I wanted to build something similar for a long time. The coolest thing is to start summarising clusters for very large codebases, which essentially provides an LoD system for the context.
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
All the GitHub links on your extension page are borked (including issues)

From the look of the associated domain it looks like you're going full product, best of luck

I'm a huge proponent of graph & visual analysis of complex systems - would have loved to try this out, but will always skip closed source editor extensions (especially in the age of widespread npm supply chain attacks & vibe coding)

The illustration gif is way too fast. Hard to understand what is going on. Slow it down 2x or so.
From your first page, this looks cool and needed. But as others have posted, I can't get to your github pages.
Unfortunately the repository links are broken and this is ARR licensed.
Very cool visualization. However it crashes on a more complex project. I added a folder with 2000+ files(included my assets) and now the visualizer locks up then shows nothing on its tab in VSCode. How do I manually delete old boards so that I can try again with a smaller slice of the code(without assets)?
Funny how world is so tiny. I am literally building myself an vscode extension which can abstract an api on top of google colab's vscode extension and I am able to effectively create a sandbox for any python code (I mean to be fair they all still share the same resource but that resource is of google)

I have also hacked together a way for it to create new kernels aka new vm's itself but that becomes really really slow and also I am trying to look at other options to sandbox inside the jupyter notebook itself.

The end result was very messy though so I was literally just currently experimenting with if I could just scrape/automate it from the browser directly.

All in All I must admit that Vscode extensions are/feel very quite competent from what I can gather.

I've been having great success with LLMs generating Mermaid diagrams and flowcharts from a repo. Claude Code and Cursor both do consistently great jobs. For example: `generate a mermaid swimlanes diagram of the XX logic flow`.
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.
I guess it is still useless in Ruby or Ruby on Rails. Standard "find the method declaration" or "used here" do not work in Ruby on Rails. Still, huge companies maintain that Ruby on Rails mess, where you cannot properly investigate, so you just guess and use the search and find option. Those codebases won't be replaced for a while, but good luck working on them. Such a headache!
Man am I glad I don't have to work with Ruby anymore
First of all, ruby-lsp does a great job at this, and the recent Herb helps with frontend templates.

This is enough to navigate between controllers, models and libs, unless you're trying hard to be clever which you shouldn't.

Then, in Rails, things have a canonical place in the codebase, that is consistent between codebases.

This is in contrast to languages and frameworks where every codebase is setup differently, but the static typing helps find code wherever it's hidden without pain, and thus without need for cleanup and thoughtful design.

To each their own, I prefer power for me, and pain for whoever drifts from the convention.

Only JS, TypeScript, and Python. You got me all excited for a C visualizer!
(comment deleted)
I definitly think more tools like this are needed, but not open sourcing it is a mistake.

You will be quickly replaced by a friendlier competitor.

We will make it open source soon! Follow me on X (@Davellele) to be updated when we do :)
I've tried it, but it's very slow on a not too complex codebase with my M3 Macbook Air.

    --------------------------------------------------------------------------------
     Language             Files        Lines        Blank      Comment         Code
    --------------------------------------------------------------------------------
     Typescript JSX         121        18724         1699         1051        15974
     TypeScript              61         5389          629          550         4210
     CSS                      5         1039           50           22          967
     Markdown                 3          657          173            0          484
    --------------------------------------------------------------------------------
It was like 5-10FPS at best, not really usable unfortunately because I like these tools.

I'm using another similar one which is buttery smooth, Code Canvas.

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! :)
I used to use Doxygen to create caller and callee graphs to understand code flow. Unfortunately, the tool hasn't really changed in more than a decade.
I always liked the idea having relationship based programming (graph programming), but with actual code. Never actually made the effort to make something like that. Pretty neat either way.
Thanks! Shoot me a message if you would like to have something added :) X: @Davellele
Please publish to Open VSX so it is easily available for VS Code forks like Cursor as well.
Looks great, it was actually just playing around yesterday with `code canvas app` which is similar, and also Charkoal.dev and Haystack Editor (before code-review pivot) which are related. Yours looks better than any of them already!

I wish it was available in Cursor as well though. Not sure how exactly they manage their marketplace, most VSCode extensions seem to be there but now and then I encounter one that is missing for no apparent reason.

It is on Open VSX so you can download it directly from Cursor!
Great! I tried it on a standard Django project but it's not displaying any edges. It is able to detect imports at least, because "Add Connected Files" works, but no edges at all.

Is there a good place to report such issues?

hey! one of the co-founders of nogic here. sorry for the late response!! feel free to report your bug here on the nogic discord: https://discord.gg/pE9sadAm. there are a couple of issues regarding edges not showing in some cases, and we are hoping to address all of these issues by the end of the week.
This is incredibly useful!
Really cool! I'm also dabbling with this idea. The biggest challenge I find is to reduce noise. Large codebases come with a lot of cruft. Surfacing every small detail in the visualization tends to make it messy and less useful. I've not seen contemporary tools tackle this, but think can be useful.
Super cool! I've thought of literally this so many times.

Is there any way to add a file to a board, then "explore" the imports of that file and potentially adding those files as well? I'm thinking as a way to explore a code base better.

Best of luck :)

Recommend Lumyst - lumystai.com