Readit NewsWould be cool if someone could recommend sci-fi that equally good.
It explores a similar premise of a post-singularity future (though the mechanism is superintelligence rather than cellular automata/mind uploading), but rather than imagining exactly how we‘d get there, it tries to imagine what human flourishing would look like in a world of perfect abundance!
Always interesting to see different ways of visualising the same thing. A while ago my friend and I also made a codebase visualisation tool ([https://www.codeatlas.dev/gallery](https://www.codeatlas.dev...), but instead of taking the graph route, we opted for Voronoi treemaps in 2D! It's a tradeoff between form and function for sure, modelling code as a DAG is definitely more powerful for static analysis. However, in most graph-based visualizations (this, gource) I just find myself getting lost super quickly, because the shapes are just not very recognisable.
Really impressed by how polished this already is, nice docs, on-the-fly rendering, congrats!
If I ever find time to work on codebase visualisation again, I might have to steal the idea of codebase entropy to better layout which files to place close to which others!
Always interesting to see different ways of visualising the same thing. A while ago my friend and I also made a codebase visualisation tool ([https://www.codeatlas.dev/gallery](https://www.codeatlas.dev...), but instead of taking the graph route, we opted for Voronoi treemaps in 2D! It's a tradeoff between form and function for sure, modelling code as a DAG is definitely more powerful for static analysis. However, in most graph-based visualizations (this, gource) I just find myself getting lost super quickly, because the shapes are just not very recognisable.
Really impressed by how polished this already is, nice docs, on-the-fly rendering, congrats!
If I ever find time to work on codebase visualisation again, I might have to steal the idea of codebase entropy to better layout which files to place close to which others!
My friend and I made a codebase visualisation tool (https://www.codeatlas.dev/gallery) that's based on Voronoi treemaps, maybe of interest as an illustration of the aesthetics with a non-rectangular layout!
We've opted for zooming through double-clicks as the main method of navigating the map, because in deep codebases, the individual cells quickly get too small to accurately target with the cursor as shown in the key-path label approach!
If anyone's interested, this is also available as a Github Action to generate the treemap during CI: https://github.com/codeatlasHQ/codebase-visualizer-action
E.g. see here for a visualisation of the pytorch codebase we did a while ago: https://codeatlas.dev/gallery/pytorch/pytorch
(disclaimer: I'm the author)
Maybe this is helpful to anyone for navigating what's in there!
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Takes your git repo and generates a beautiful visual representation of the code. Sort of an alternative navigation tool (in addition to IDEs) for large codebases. Can also run it as part of CI with our Github Action (https://github.com/codeatlasHQ/codebase-visualizer-action).
We made this because grokking complex software projects is really difficult and we've found that a visual overview of what's in a codebase can be quite helpful to get started.
E.g. checkout https://codeatlas.dev/gallery/kubernetes/kubernetes for the generated visualisation of the Kubernetes Github repo!
Currently making -10$/year to pay for the domain :D We slowed down active development after our initial attempts at dissemination didn't really go anywhere (bragging about side projects on the internet, ugh), but I'm still really keen on getting some feedback on whether this is actually useful to anyone else!
Note: The site works somewhat on mobile, but is much better on desktop!
Also, funny there's a post like this again, just like https://news.ycombinator.com/item?id=34531989 yesterday.
The 2022 edition isn’t so much about LLMs as about image generation with stable diffusion, but the underlying techniques are still foundational enough to be generally useful. YMMV, but for me building things from scratch, even if results don‘t reach SOTA, is the single most effective way to learn what‘s really going on.