# Slack

Baz’s integration for Slack solves a key pain point in GitHub’s notification system: separating signal from noise. Developers often miss important updates—or waste time responding to irrelevant ones—because GitHub floods them with emails, alerts, and digests that lack context.

Baz delivers real-time Slack notifications tailored to your role in the code review process:

* **Authors** get notified when their change request is commented on, approved, or ready to merge.
* **Reviewers** are alerted only when their review is requested, or when their comments are resolved.

All alerts are **context-aware**, triggered dynamically by change request activity. That means no more constant inbox checks or GitHub refreshes—just the updates that matter, when they matter.

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### **Configuring Baz & Slack**

To install Baz:

1. Go to the [Slack settings page](https://baz.co/settings/integrations/slack), and login if needed.
2. Click "Add to Slack" and complete the setup on Slack side.

### **Using Baz as a Slack bot**

Once installed, Baz:

1. Identifies your role in each change request (author, reviewer, commenter).
2. Tracks relevant actions (e.g. comment, approval, request for review).
3. Sends **Slack notifications** only for events that require your attention.

You can configure whether you want to enable or disable all notifications in slack. You cannot converse with Baz today.

### **Privacy Policy**

Your privacy matters. View our [Privacy Policy](https://baz.co/legal#privacy) for details on how we collect, store, and manage data.

### **AI Disclaimer**

Baz uses a Large Language Model (LLM) to summarize and review change requests. While we work hard to ensure accuracy, LLMs may occasionally generate incorrect or misleading information. Please review all AI-generated output carefully.


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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.baz.co/basics/integrations/slack.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.