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Connect Amazon Q Developer to track your team’s AI-assisted development activity. Like Kiro, Amazon Q exports per-user usage reports to Amazon S3, and Weave ingests them.

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What’s tracked

  • Inline suggestions — suggestions shown, accepted, and lines generated
  • Chat interactions — messages and AI-generated code from chat
  • Feature usage — inline chat, code fixes, code review findings, test generation, and /dev usage
  • Cost tracking — seat-based Amazon Q cost

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Prerequisites

  • An Amazon Q Developer subscription with AWS IAM Identity Center configured
  • AWS admin access to enable user activity reports
  • An Amazon S3 bucket to receive the activity report CSVs
  • An IAM user with read access to the bucket and IAM Identity Center

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Setup

Amazon Q uses the same AWS S3 + IAM Identity Center mechanism as Kiro. Follow the Kiro setup steps — create an S3 bucket, enable user activity reports, create an IAM user for Weave, and find your Identity Store ID — then configure it under Data → Amazon Q → Configure instead of Kiro.
1

Enable Amazon Q user activity reports to S3

In the AWS console, enable Amazon Q Developer user activity reports and point them at your S3 bucket.
2

Create an IAM user for Weave

Grant s3:GetObject and s3:ListBucket on the report bucket, plus identitystore:ListUsers and identitystore:DescribeUser to resolve user identities. See the Kiro IAM policy.
3

Configure in Weave

Go to Data → Amazon Q → Configure, open the Configure Amazon Q S3 integration card, click Configure S3, and enter your S3 bucket name, region, prefix, AWS access keys, and Identity Store ID + region. Weave validates access and begins syncing.

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Metrics enabled

Once connected, you can track:

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Cost tracking

Amazon Q activity reports track usage, not dollar cost, so Amazon Q cost is seat-based. Enter your Amazon Q subscription in Settings → Financial → Tool subscription costs (seats × cost per user), and Weave allocates that flat cost across the engineers active in Amazon Q during each period.

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Data privacy

Weave syncs only aggregate usage metrics from Amazon Q activity reports:
  • Suggestion counts and acceptance rates
  • Lines of code generated and accepted
  • Chat and feature usage counts
We never access:
  • Your source code content
  • AI prompts or chat conversations
  • File names or project structure
  • Kiro — also an AWS S3 activity-report integration
  • Cursor — AI IDE
  • Claude Code — CLI-based AI assistant
Last modified on October 17, 2026