Case study

ai2024

CodeCompass

AI-powered codebase onboarding platform with interactive architecture diagrams and RAG-based Q&A.

Exploring the boundaries of artificial intelligence

Field notes

Role

Creator

Read order

Evidence first, then constraint → build → proof. Use the chapter rail to jump sections; orbit to adjacent work from the bottom of the case study.

The AI Frontier✦II-Class Star

●LIVE

View on GitHub

View Live Site Source Code

Evidence

System surface

No public screenshot on file—generative preview stands in for the visual layer.

Signature viewcodebase-onboarding-tool.vercel.app

Open Live Site

codebase-onboarding-tool.vercel.app

Story arc

How this shipped

Exploring the boundaries of artificial intelligenceThree beats: what pressed against the work, how the stack answered, and what changed once it was live.

I · Constraint

The brief

New developers spend weeks understanding large codebases. Architecture knowledge lives in senior developers' heads, not documentation.

II · Build

The craft

Auto-generates interactive architecture diagrams from code analysis. RAG-powered Q&A answers questions by searching through indexed codebase context.

III · Proof

What moved after launch

Reduces onboarding time from weeks to days. Architecture diagrams update automatically as code changes. Q&A answers 80% of common codebase questions.

Inventory

Stack & signals

TypeScriptAIRAG

Tell me what you're building

If you need someone who can own UI, systems, and AI integration without losing the plot—I'm listening. Contract, advisory, or full-time: we'll find the right shape.

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