Product Map AI for Azure Repos

Product Map AI brings product management context engineering to Azure Repos. It creates and maintains a version-controlled .productmap/ knowledge layer so Cursor, Claude Code, Codex, Gemini, and other agents understand your product, users, goals, and constraints.

Run grounded agents across strategy, discovery, delivery, prioritization, and go-to-market, then review context updates through pull requests.

Learn more: productmap.io

Capabilities

• Creates and maintains a version-controlled .productmap/ knowledge layer in your Azure Repos repository.
• Provides PM frameworks and templates for strategy, discovery, delivery, prioritization, and go-to-market.
• Keeps context current by reading updates from your default branch.
• Proposes changes through pull requests for team review.
• Gives Cursor, Claude Code, Codex, Gemini, and other agents a shared product source of truth.

Benefits

• Grounded decisions: Agents understand your product, users, goals, and constraints.
• Faster work: Reuse product context across every agent run.
• Consistent execution: Your tools work from the same version-controlled knowledge.
• Reviewable updates: Context changes follow your normal pull-request workflow.
• Proven practices: Apply established PM frameworks when decisions are made.

Getting Started

Requirements:

• Plan: Product Map AI account and eligible plan.
• Permissions: A Microsoft Entra work or school account with access to the Azure DevOps organization, and permission to connect Azure Repos.
• Availability: Confirm current availability with Product Map AI.

Setup:

1. Add your product, users, goals, stage, and constraints to Product Map AI.
2. Connect Azure Repos and select a repository.
3. Review the generated .productmap/ structure and start running agents.

Get started at app.productmap.io.