Build With Me: Build Your Own Codebase Q&A
Ever opened an unfamiliar codebase and spent time searching through files just to understand how something works?
In this Build With Me session, we'll build a Codebase Q&A tool that lets you ask questions about a codebase and get answers based on the actual code. We'll see how the application finds relevant parts of the code and uses them as context to generate an answer.
We'll go through the process of turning source code into searchable information, retrieving relevant code for a question, and connecting that context with an AI model.
What You'll Learn:
How RAG works with code
How code can be split and processed for retrieval
What embeddings and vector search are used for
How FAISS can be used to find relevant code
How retrieved code is passed as context to an AI model
How to build a simple AI-powered developer tool
Who Should Attend?
Developers
Students interested in AI development
Developers exploring RAG and vector search
Anyone curious about building AI tools for codebases
Meet your speaker: Shrestha Pandey
Shrestha is a Developer Advocate at VickyBytes, where she turns complex AI concepts into projects you can build in a weekend. Her technical writing spans GenAI, local LLMs, and developer tooling — from building a GitHub bot that reviews pull requests with a locally running LLM to breaking down how 70B models now run on everyday laptops. At Build With Me, she brings that same build-first energy: no slide marathons, just live code from zero to a working app.