Bito’s Slack Agent is now available to install directly in Slack.
Engineering teams discuss architecture, debug incidents, and plan features in Slack every day, but the technical context that should inform those conversations lives somewhere else. It sits scattered across the codebase, buried in old Jira tickets, and locked inside Confluence pages nobody opens mid-thread.
Bito’s Slack Agent puts that context inside the conversation where decisions are actually being made. Mention @Bito in any thread, and it brings deep codebase context, Jira history, and Confluence documentation into the discussion, powered by AI Architect, Bito’s context layer that builds a knowledge graph of your codebase and operational history.
How it works
@Bito reads only the thread it is mentioned in, along with files attached to it, any Jira ticket IDs like PROJ-456 referenced in the discussion, and any Confluence URLs pasted into it. The broader channel stays untouched.
Every response runs on the same AI Architect that powers technical design and planning in Jira, grounded code generation in Cursor and Claude Code, and codebase aware code reviews on every pull request. Your existing Bito integrations flow into every response automatically.
What you can ask @Bito
- Catch up on long threads: Get a summary of a discussion you missed. Ex, @Bito summarize the last 3 days of discussion and highlight any decisions that need my input
- Compare technical approaches: Walk through tradeoffs between two options. Ex, @Bito compare these two approaches and explain the trade-offs
- Extract action items: Pull a clean list of next steps after a planning discussion. Ex, @Bito list all action items from this thread with who’s responsible
- Break down complex work: Turn a feature discussion into implementable tasks. Ex, @Bito help us break down this feature into implementable tasks
- Pull context from a Jira ticket: Connect existing ticket history to the live conversation. Ex, @Bito what’s the background on PROJ-456 and how does it relate to this issue?
- Turn a plan into code: Spin up a branch and ship the changes from the agreed plan. Ex, @Bito based on the implementation plan above, create a new branch and make the code changes
For more prompts, file workflows, and best practices, see the How to use Bito AI Assistant section of the docs.
Setting it up
Installation takes under two minutes.
- Go to bitoaiassistant.bito.ai/slack/install, review the permissions, and click Allow.
- Connect your Bito account when prompted.
- Open any channel, type @Bito followed by your question, and Slack prompts you to add Bito if it is not already there. Click Yes.
- Repeat for each channel. Both public and private channels work.
You will need an active Bito paid plan that includes Bito AI Assistant for Slack, AI Architect configured for your workspace (Bito hosted or self-hosted), and Slack admin permissions. The full prerequisite list and walkthrough live in the installation guide.
Try it now
Every surface where engineering work happens now draws from the same AI Architect knowledge graph, the IDE, Git, Jira, and now Slack. The decisions your team makes in conversation carry the same codebase grounding as the code generated in Cursor and the reviews posted on every pull request.
Install Bito’s Slack Agent in two minutes and put @Bito to work in your busiest engineering channel at bitoaiassistant.bito.ai/slack/install.
