How do I build an AI codebase assistant from scratch?

Use Langchain, ChromaDB, sentence-transformers, and Ollama. Load files, chunk, embed, query via RetrievalQA. Full code above — 100 lines tops.

Best local LLM for code querying?

Llama3.1 or Codellama via Ollama. Fast, accurate, no cloud. Pull with `ollama pull llama3.1`.

Does this replace tools like Cursor or Sourcegraph?

For personal use, yes — local, free, private. Teams? Extend with UI/server; beats subscriptions.

🤖 AI Dev Tools

I Built a No-BS AI Codebase Assistant from Scratch — And It Crushes the Hype Machines

Paste a GitHub link into Cursor or whatever's hot this week — get garbage back. I built my own AI codebase assistant instead. Runs local, understands your code, no subscriptions.

theAIcatchup Apr 09, 2026 4 min read

Terminal output of AI codebase assistant answering code query accurately

⚡ Key Takeaways

Build your own local AI codebase assistant in minutes using open-source tools — no hype, just results. 𝕏
Demystifies commercial tools: it's all embeddings + vector search + LLM synthesis. 𝕏
Saves hours on large repos; extendable for production without vendor lock-in. 𝕏

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theAIcatchup

Ship faster. Build smarter.

#AI codebase assistant #ChromaDB #LangChain #LangChain tutorial #Ollama Chroma #RAG pipeline #build from scratch #local LLM coding #local-llm #ollama

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Originally reported by dev.to

⚡ Key Takeaways

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