Connect Devin and Windmill to track AI software engineer adoption and output
What is Devin?
Devin is Cognition’s autonomous AI software engineer that plans, writes, and ships code in its own sessions. Engineering teams delegate tasks to Devin from Slack, Jira, Linear, and the web app, and it opens pull requests when the work is done.
How Windmill Uses Your Devin Integration
Windmill connects to Devin’s analytics API to track AI software engineer adoption:
- ACU consumption tracking showing Agent Compute Units consumed per engineer, broken down across Devin, Cascade, Terminal, and Review
- Session metrics including sessions created, average ACUs per session, and breakdowns by origin—Slack, Jira, Linear, API, and more—and task size
- Pull request outcomes tracking PRs Devin authored or took over, and whether they were merged or closed
- Per-engineer attribution so usage is automatically tied to the right team members
Windy turns Devin analytics into actionable stats for performance reviews and 1:1s—without accessing any session content, prompts, code, or repositories.
Benefits of the Windmill Devin Integration
Track AI delegation automatically. See which engineers are delegating work to Devin, how much compute they’re using, and whether that work ships as merged pull requests—without asking anyone to self-report.
Data-driven coaching on agentic workflows. Managers get visibility into session origins, task sizes, and merge rates to help teams delegate to AI agents more effectively and identify engineers who could benefit from enablement.
Performance reviews that capture delegated work. Work shipped through Devin doesn’t show up in traditional commit metrics. Devin usage data ensures reviews reflect how engineers leverage autonomous agents to multiply their output.
Privacy-first analytics. Windmill only reads aggregate usage metrics—never session content, prompts, code, or repositories. Stats follow the manager hierarchy so peers can’t see each other’s data.