Entelligence

Give your developers an AI assistant that understands every line of your codebase

Your AI agent connects to Entelligence's repository intelligence, answering code questions, explaining architecture decisions, and surfacing relevant pull requests and documentation. New engineers onboard faster, and your team stops context-switching between chat and code.

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Codebase knowledge at your fingertips

Your AI agent becomes a codebase expert by connecting to Entelligence's repository intelligence, answering engineering questions with full project context.

Query Repository Agent

A developer asks 'How does the authentication module work?' Your AI agent sends the question to Entelligence's Repository Agent, which analyzes the full codebase context and returns a detailed explanation with file references.

Onboard New Repositories

Your team starts a new project. The AI agent registers the repository in Entelligence with its URL, branch, and documentation link. Issues, PRs, and docs are ingested automatically for future queries.

Search Across PRs and Issues

A developer needs context on a bug. Your agent queries Entelligence with the relevant question, and the Repository Agent searches across pull requests, issues, and documentation to surface the most relevant engineering context.

Explain Code Architecture

During sprint planning, someone asks about module dependencies. The agent queries Entelligence's advanced agent mode, which analyzes cross-file relationships and returns architectural insights that would take hours to piece together manually.

Access Documentation Context

When documentation URLs are configured, your agent pulls context from both code and external docs. Entelligence combines repository analysis with documentation content, providing comprehensive answers that reference both sources.

Maintain Conversation History

The Entelligence Repository Agent supports multi-turn conversations with full history. Your agent passes previous interactions as context, enabling follow-up questions like 'What tests cover that module?' without repeating background information.

Entelligence

Use Cases

Engineering productivity, conversational

See how engineering teams use AI agents to eliminate codebase knowledge silos, speed up onboarding, and answer technical questions without pulling senior developers away from their work.

New Developer Onboarding in Minutes

A new hire joins your engineering team and asks the AI agent 'How is the payment service structured?' The agent sends the question to Entelligence's Repository Agent, which analyzes the full codebase and returns an explanation of the payment module's architecture, key files, and related PRs. The new developer gets productive on day one instead of spending a week reading code. Senior engineers keep shipping.

Instant Context for Bug Investigation

A developer debugging a production issue asks 'What changed in the order processing pipeline last month?' Your AI agent queries Entelligence, which searches across merged pull requests, issue discussions, and commit history to surface the relevant changes. The developer finds the root cause in minutes rather than manually reviewing dozens of PRs and commit logs.

Self-Serve Architecture Answers for Sprint Planning

During a planning meeting, the team asks 'Which services depend on the user profile API?' Your AI agent queries Entelligence's advanced Repository Agent, which traces cross-file dependencies and returns a clear map of dependent services. The team scopes their refactoring task accurately without scheduling a separate architecture review meeting.

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FAQs

Frequently Asked Questions

How does the AI agent answer questions about my codebase through Entelligence?

The agent sends your question along with conversation history to Entelligence's Repository Agent endpoint. Entelligence analyzes the full codebase stored in its vector database, searches across code files, PRs, issues, and docs, then returns a detailed answer with file references. The agent presents this in the conversation with proper code context.

Can the agent register private repositories with Entelligence?

Yes. When adding a new repository, the agent can include an AccessToken parameter for private repos. This token authenticates Entelligence's access to your code. You control which branches and data types are ingested, including issues, pull requests, and documentation.

Does Tars store my source code or repository contents?

No. Tars sends questions to Entelligence and relays the responses. Your code lives in Entelligence's vector database, which you manage separately. Tars does not index, cache, or persist any source code. Only the conversational Q&A flows through the Tars platform.

What does the advancedAgent flag do in Entelligence queries?

When advancedAgent is enabled, Entelligence uses a more sophisticated analysis mode that traces cross-file dependencies, analyzes architectural patterns, and provides deeper context. It is enabled by default and recommended for complex questions about system design or module relationships.

Can the agent search across multiple repositories in one question?

Each query targets a specific repository via its vector database URL. However, you can register merged repositories in Entelligence that combine multiple codebases into one searchable index. This lets the agent answer questions that span multiple services or microservices.

How is this different from just using GitHub Copilot or ChatGPT to ask about code?

Copilot and ChatGPT work with the file you have open. Entelligence indexes your entire repository, including PRs, issues, and documentation, providing full project context. When someone asks about module dependencies or recent changes, Entelligence searches your actual codebase history, not general training data.

Does the Repository Agent support follow-up questions with context from earlier in the conversation?

Yes. The agent passes the full conversation history to Entelligence's Repository Agent endpoint. This means you can ask 'How does the auth module work?' followed by 'What tests cover it?' and Entelligence will understand the second question refers to the authentication module discussed earlier.

What types of repository data can Entelligence ingest when a repo is added?

When registering a repository, you can enable ingestion of source code, pull requests, issues, and external documentation. Each data type is controlled by separate boolean flags: IngestDocs, IngestIssues, and IngestPrs. This lets you customize exactly what context is available for queries.

How to add Tools to your AI Agent

Supercharge your AI Agent with Tool Integrations

Don't limit your AI Agent to basic conversations. Watch how to configure and add powerful tools making your agent smarter and more functional.

Privacy & Security

We’ll never let you lose sleep over privacy and security concerns

At Tars, we take privacy and security very seriously. We are compliant with GDPR, ISO, SOC 2, and HIPAA.

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