Goose with RepoMix MCP
AI Summary
In this video, the speaker introduces a solution to optimize interaction with Large Language Models (LLMs) for repository analysis. Key points include:
- Issue: LLMs can be expensive and can exceed context limits when analyzing large repositories.
- Solution: Use the Goose command to connect with the Repo Mix MCP extension for efficient analysis.
- Demonstration: The speaker instructs Goose to analyze Axos’s core file, which includes tasks like determining its architectural role, identifying missing tests, creating new unit tests, and suggesting refactoring tips.
- Outcome: Goose successfully compresses the repo, identifies missing test cases, generates new tests, and offers refactoring advice, significantly improving efficiency.
- Call to Action: To start using Goose, visit the website https://block.github.io/goose.