# Integrating with Bito's AI Code Review Agent

Enhance your code reviews with deeper codebase intelligence by connecting Bito's [AI Code Review Agent](/ai-code-reviews-in-git/overview.md) to [AI Architect](/ai-architect/overview.md). This integration enables significantly more accurate and context-aware reviews by leveraging the comprehensive knowledge graph that AI Architect builds from your codebase.

### What this integration provides

When AI Code Review Agent accesses AI Architect's knowledge graph, it gains a complete understanding of your codebase architecture — including microservices, modules, APIs, dependencies, and design patterns.

This enhanced context allows the AI Code Review Agent to:

* **Provide system-aware code reviews** - Understand how changes in one service or module impact other parts of your system
* **Catch architectural inconsistencies** - Identify when new code doesn't align with your established patterns and conventions
* **Detect cross-repository issues** - Spot problems that span multiple repositories or services
* **Deliver more accurate suggestions** - Generate fixes that are grounded in your actual codebase structure and usage patterns
* **Reduce false positives** - Better understand context to avoid flagging valid code as problematic

### Setup instructions

Follow these steps to connect AI Architect with AI Code Review Agent:

1. Log in to [**Bito Cloud**](https://alpha.bito.ai/home/welcome)
2. Open the [**AI Architect Settings**](https://alpha.bito.ai/home/ai-architect/settings?mode=self-hosted) dashboard.
3. In the **Server URL** field, enter your **Bito MCP URL**
4. In the **Auth token** field, enter your **Bito MCP Access Token**

### Need help?

Contact our team at [**support@bito.ai**](mailto:support@bito.ai) to request a trial. We'll help you configure the integration and get your team up and running quickly.


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# Agent Instructions: Querying This Documentation

If you need additional information that is not directly available in this page, you can query the documentation dynamically by asking a question.

Perform an HTTP GET request on the current page URL with the `ask` query parameter:

```
GET https://docs.bito.ai/ai-architect/integrating-ai-architect-with-your-tools/integrating-with-bitos-ai-code-review-agent.md?ask=<question>
```

The question should be specific, self-contained, and written in natural language.
The response will contain a direct answer to the question and relevant excerpts and sources from the documentation.

Use this mechanism when the answer is not explicitly present in the current page, you need clarification or additional context, or you want to retrieve related documentation sections.