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Your Codebase Expert Assistant

Ellipsis provides a powerful Q&A interface that allows you to ask questions about your codebase through Slack and GitHub. Unlike generic AI assistants, Ellipsis:

  • Has access to your entire codebase
  • Understands your specific architecture and patterns
  • Knows your project’s history and recent changes
  • Can access multiple repositories at once

This allows for highly specific, contextual answers tailored to your unique codebase.

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Types of Questions You Can Ask

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Code Understanding

Ask technical questions about your code implementation:

  • “How does our authentication system work?”
  • “What’s the data flow for user registration?”
  • “Where is the API rate limiting implemented?”
  • “How do we handle database migrations?”

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Architecture & Design

Get insights into the structure and design decisions:

  • “Explain our microservice architecture”
  • “What design patterns do we use for event handling?”
  • “How are our React components organized?”
  • “What’s our approach to error handling?”

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Project Management & History

Track development progress and understand changes:

  • “What features were added in the last month?”
  • “Who’s been working on the payment system?”
  • “What’s the status of the new dashboard?”
  • “When was the login system last updated?”

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Using Q&A on Different Platforms

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In Slack

Simply message the Ellipsis bot in Slack with your question, either in:

  • Direct messages to the Ellipsis bot
  • Any channel where the Ellipsis bot is present (by tagging @Ellipsis)

Ellipsis will respond with a detailed answer based on your codebase.

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On GitHub

Comment on issues or pull requests with your question while tagging Ellipsis:

Use either:

  • @ellipsis (for GitHub Enterprise)
  • @ellipsis-dev (for GitHub.com)

This is particularly useful for getting immediate context about a specific issue or PR.

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Follow-up Questions

Ellipsis maintains context from previous questions, allowing you to ask follow-up questions for clarification or to dive deeper into a topic. This creates a natural, conversational experience when exploring complex topics in your codebase.