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What is Tandemu?

Tandemu is a platform that sits alongside Claude Code to give engineering teams visibility into how AI is being used, where developers get stuck, and how work flows through the team — all without any manual reporting.

Think of it as the management layer for AI-assisted development. Developers use Claude Code as usual. Tandemu quietly collects telemetry, tracks sessions, and surfaces insights to engineering leads through a dashboard.

What it does

  • AI Usage Tracking — Measures the ratio of AI-generated code vs manually written code across your team
  • Friction Detection — Identifies files and components where developers repeatedly struggle (prompt loops, repeated errors)
  • Passive Time Tracking — Automatically logs development time from Claude Code sessions, no timesheets needed
  • DORA Metrics — Tracks deployment frequency, lead time, change failure rate, and time to restore
  • Team Coordination — Custom Claude Code skills for standups, task picking, and blockers
  • Ticket System Integration — Connects to Jira, Linear, ClickUp, or GitHub Issues so developers can pick tasks from their sprint directly in the terminal

Who it’s for

Developers get custom Claude Code skills (/morning, /finish, /standup, /blockers) that streamline their workflow. No context switching to update tickets or write standup reports.

Engineering Leads get a dashboard with real-time insights into team productivity, AI adoption, and code quality bottlenecks — without deploying invasive monitoring software.

Architecture

Tandemu is built as a TypeScript monorepo:

ComponentTechnologyPurpose
BackendNestJSAPI server, org management, telemetry queries, billing
FrontendNext.js + shadcn/uiManagement dashboard
TelemetryOpenTelemetry + ClickHouseHigh-throughput analytics pipeline
DatabasePostgreSQLOrganizations, users, teams, integrations
SkillsClaude Code SKILL.mdTerminal-based developer workflows
MemoryMem0 via MCPPersistent context across sessions

Deployment

Tandemu runs as a self-hosted Docker Compose stack or as a managed cloud service. The open-source and SaaS versions share the exact same codebase.

Next steps

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