Entelligence Chat with Docs
Intelligent documentation assistance powered by AI agents
Chat with Docs transforms how developers interact with project documentation by providing intelligent, contextual answers about codebases, pull requests, issues, and team contributions through advanced AI agents.
Overview
The Chat with Docs feature leverages multiple specialized AI agents to provide comprehensive assistance across your entire development ecosystem. Whether you need quick answers about code functionality, detailed analysis of pull requests, or insights into team performance, our AI agents are designed to understand and respond to complex queries with precision.
Available AI Agents
Code Agent
Trained to answer any questions about the codebase
The Code Agent specializes in understanding your project's architecture, functions, and implementation details. It can explain complex code segments, identify patterns, and provide insights into how different parts of your system work together.
Agent
Advanced reasoning capabilities across all issues, pull requests, recent updates, individual contributions and code
Our general-purpose Agent provides comprehensive analysis across your entire project ecosystem. It can correlate information from multiple sources to provide detailed insights and recommendations.
Multi-Step
Trained for multi-step planning and reasoning capabilities to solve complex queries
Built on structured reasoning models, this agent breaks down complex engineering tasks into logical steps, ideal for debugging, system design, and implementation planning.
Agent-3-beta
Our latest experimental agent features improved conversational capabilities with better reasoning, memory management, and lower latency compared to previous agent
The newest addition to our agent family offers enhanced performance with faster response times and improved context understanding for more natural conversations.
Commands Reference
Use the following commands directly in the chat to get instant answers, summaries, and actions across your development workflow:
| Command | Description |
|---|---|
/generateExecutiveSummary | Generate a weekly executive summary with team progress, key updates, and contributions |
/issueThemes | Summarize recurring patterns from recent issues |
/prThemes | Highlight themes and trends from the latest pull requests |
/pullUserStats | Provide individual and team contribution analytics |
/findCode | Locate where specific functionality is implemented |
/explain | Explain a selected code snippet or file |
/listIssues | List currently open issues |
/listPRs | List currently open pull requests |
/relevantIssues | Retrieve issues relevant to the current context |
/relevantDocs | Fetch relevant documentation sections |
/relevantPRs | Search for related pull requests |
/onboard | Generate onboarding guidance for the codebase |
/improve | Suggest improvements for selected code or files |
/recentUpdates | Provide a summary of recent codebase changes |
/visualize | Generate a high-level system architecture diagram |
/updateDocs | Update documentation directly within the editor |
Use @ to reference specific codebases or documentation, for example: @CopilotKit/CopilotKit.
Getting Started
1. Access Chat Interface
Navigate to Chat within the Entelligence Dashboard.
2. Choose the Right Agent
Select from Code Agent, Agent, Multi-Step, or Agent-3-beta based on your query type.
3. Ask a Question or Use a Command
Use free-form questions (e.g., "Explain the deployment flow in our app") or shortcut commands (e.g., /generateExecutiveSummary).
4. Review and Refine
Interact conversationally. Ask follow-ups, reference files (e.g., @CopilotKit/CopilotKit), and iterate with the AI agents.
Key Capabilities
Contextual Understanding
Our AI agents understand the full context of your project, including code relationships, development history, and team dynamics.
Multi-Source Analysis
Agents can analyze and correlate information from:
- Source code and documentation
- Pull requests and code reviews
- Issues and bug reports
- Team contributions and metrics
- Recent updates and changes
Natural Language Interface
Ask questions in plain English and receive detailed, actionable answers that help you understand and improve your development process.
Command Shortcuts
Use quick commands like /generateExecutiveSummary or /issueThemes for instant access to common analytics and summaries.
Benefits
Enhanced Productivity
Get instant answers to complex questions without manually searching through documentation, code, or project history.
Better Decision Making
Access comprehensive insights that help you make informed decisions about code changes, resource allocation, and project priorities.
Improved Team Communication
Generate summaries and reports that facilitate better team meetings and stakeholder updates.
Faster Onboarding
New team members can quickly understand project structure, coding patterns, and development processes through natural language queries.
Best Practices
- Choose the Right Agent
- Be specific about what you want to know
- Provide context when asking about particular features or issues
- Use quick commands for routine analytics
- Follow up with clarifying questions when needed
Summary
Chat with Docs revolutionizes developer productivity by providing intelligent, AI-powered assistance for all aspects of software development. With specialized agents designed for different aspects of your project ecosystem and quick commands for common tasks, developers can get instant answers to complex questions, generate comprehensive summaries, and gain valuable insights into their codebase and team performance without leaving their workflow.