Bito’s AI Architect now reads your Google Docs, so the PRDs, design decisions, and technical specs your team writes there directly inform technical design, grounded coding, and code reviews.
Google Docs joins Slack, Jira, Linear, Confluence, and your codebase as a source AI Architect draws from, and it can also create Docs, update them, and read the Sheets and Slides that sit alongside them in your Drive.
Why this matters for engineering teams
For many engineering teams, design decisions get made and debated in Google Docs and the rationale behind them often stays there. AI Architect now brings that reasoning into every part of its work.
- When AI Architect drafts a technical design in Jira or Linear, it can reference the PRD, the architecture doc, and the design decisions your team wrote up in Docs.
- When your coding agents call AI Architect through MCP, the context they receive includes the specs and decisions captured in Google Docs alongside the codebase and tickets.
- When AI Architect reviews a pull request, it can check the change against the design document or team convention captured in a Doc, catching mismatches before they land.
How it works
Once your Google account is connected, AI Architect can read from your Drive and write into Docs. It browses folders, searches by name or content, and reads the full contents of any Doc, Sheet, or Slide. It creates or updates Docs when your team asks it to. Write access is limited to Docs, so Sheets and Slides remain read-only.
How to connect Google Docs
1. Sign into your Bito workspace at alpha.bito.ai. Make sure you’ve integrated git and AI Architect to your codebase.
2. From your Bito dashboard, go to Home or open the Manage Integrations page. You will see options for Jira, Confluence, Linear, Slack, and Google Docs.
3. Click Google Docs, sign in with your Google account, and grant access.
AI Architect starts using your Google Docs as a source from that point forward.
What it means
Your team keeps working in the tools you already have, and AI Architect works alongside you. The design docs, PRDs, and specs your engineers write in Google Docs become part of the same context AI Architect uses when it drafts a design, supports a coding agent, or reviews a pull request. The documentation your team already maintains becomes reasoning your AI tools can act on.
