GitHub
Mind-map of your codebase to see what your agent builds
What it does
Hey PH 👋 We built CodeBoarding because AI coding is getting fast, but understanding what changed is getting harder. It’s open-source, and it makes a kind of mind map for your codebase. Instead of just looking at folders or asking an LLM to index everything, we use static analysis / control-flow graphs to find the actual architecture, then use a small LLM layer to name the clusters so humans can read it. Would love feedback from people building with coding agents.
Does the same job
all alternatives →- IBI built an AI that turns GitHub codebases into easy tutorials2025 · github.com · ▲923
https://the-pocket.github.io/Tutorial-Codebase-Knowledge/
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hi guys. been working on something i think is fundamentally missing in today's workflow with ai agents. vcs. i find myself struggling with questions that agents can't answer like "why did you do it?", "when did u delete this folder? why?", etc. or trying to /rewind (after a /compact...) or basically `bisect` to find when and why something was done by the agent in the current / previous session. just like git did for code, i think we are the same core capabilities with ai agents so... i developed an open source solution for that (currently supporting claude code) would love to…
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Hi all, I'm Ivan, and together with Alex, we're building a diagram visualization tool for codebases. Alex and I are devs, and we've noticed that recently we've been super productive at writing code (prompting :D). But when it comes to understanding big systems, prompting doesn't work that well — for that, diagrams are best imo. Most tools out there don't scale to big projects (e.g. PyTorch), so we're building CodeBoarding — a recursive visualizer for codebases. It starts from the highest level of abstractions and lets you dive deeper. We use static analysis and LLM agents. The control-flow…
- CICodeBoarding – interactive map of your codebase for onboarding2025 · github.com · ▲24
Hey HN, we are Alex and Ivan, two developers who’ve spent too many afternoons trying to understand unfamiliar repos. Like most devs, we don’t enjoy wading through dense docs to get up to speed — so we built CodeBoarding to make codebase onboarding a more interactive experience. Last year, I (Alex) was onboarding at a biotech company in the R&D phase applying ML. As you can imagine, when a team of scientists from non CS-background come together, the code gets pretty messy and full of domain-specific quirks. During my time there, I asked a lot of questions, yet when my internship came to an…
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