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How to Use AI to Answer Customer Questions from Your Entire Codebase

Learn to provide deep technical support by consolidating multiple code repositories in VS Code and using an AI assistant like Claude Code to query your code, documentation, and customer-specific notes for hyper-personalized answers.

How to Use AI to Answer Customer Questions from Your Entire Codebase

Tools Used

Claude Code

Claude for coding tasks

02Step-by-Step Guide
1

Consolidate All Repositories

Clone all of your company's individual code repositories into a single parent directory on your local machine.

2

Open Parent Directory in VS Code

Open the top-level parent directory in VS Code. This allows AI tools to traverse across all services, giving them the full context of the entire platform's codebase at once.

3

Automate Codebase Updates

Create a script to automatically pull the latest changes for all repositories. You can ask an AI to generate this script for you to ensure you're always working with the most current code.

Prompt:
help me figure out a way to pull the latest main branches into my local repos
Pro Tip: Save the generated script and run it daily to keep your local codebase in sync with the main branches.
4

Maintain a 'Customer Quirks' Document

Create a single, centralized document (e.g., on Confluence) that details the unique security, infrastructure, and environmental requirements for each of your enterprise customers.

5

Query Across Code, Docs, and Notes

Use an AI assistant in VS Code to run queries that combine information from the codebase, official documentation, and your customer quirks page to generate hyper-personalized answers and deployment plans.

Prompt:
DPL, my customer, cannot use CDs and they are using Google Secrets Manager and want to deploy. The wizard image, give me a step by step process on how to do it.
Pro Tip: Mentioning the customer's name in the prompt helps the AI cross-reference your 'customer quirks' page for a more tailored response.

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