Introducing Metrics in Mission Control: Measure the Real Impact of Your Cloud Agents

Metrics is now live in Mission Control, giving your team a transparent, data-driven view into how their cloud agents perform, what they produce, and how automation is improving your development workflow.

If you’ve been using Continue for Tasks, Workflows, and Integrations, you’ve see first hand how cloud-based automation becomes part of your day-to-day engineering stack.

Metrics shows you what your cloud agents are doing and the value they deliver.

Why Metrics Matters for Cloud Agents and Continuous AI

Engineering teams adopt automation when we trust the output, and trust requires visibility. As more organizations move toward cloud-hosted AI agents and Continuous AI, the same questions kept coming up:

• What did our cloud agents actually accomplish this week?
• Which cloud-based workflows are generating real engineering output?
• How do we measure the ROI of cloud agents in our development pipeline?

Metrics makes all of this visible.

It transforms cloud agent activity into a clear, actionable performance dashboard, revealing:

• Workflow run frequency
• Which cloud agents generated pull requests
• PR quality, merging patterns, and status trends
• Cloud agent activity over time

This is the foundation of measurable, trustworthy, production-ready Continuous AI.

What’s Included in Metrics Today

📊 Cloud Agent Activity (Last 14 Days)

See how your cloud agents are operating day-to-day. Identify bursts of activity, consistent patterns, slowdowns, and unmerged PRs.

📈 Pull Request Analytics for AI-Generated Code

Every PR your cloud agents create now includes:

• Workflow name
• Trigger type (cron, GitHub event, manual, etc.)
• Total workflow runs
• Status breakdown (merged, open, draft, closed)

This surfaces the tangible impact of your cloud agents with the amount of working code shipped.

Why Teams Rely on Metrics for Cloud-Based Automation

Cloud agents should never operate in a black box. Metrics brings clarity to automation that once felt invisible.

You can now more quickly answer:

• What is our cloud automation actually doing for the team?
• Where are we getting the highest return on cloud agents?
• Which workflows need refinement to get their PRs merged?
• Is automation reducing our maintenance burden over time?

More visibility into cloud agents → more trust → more automation → more time for the engineering you care about.

Start Tracking Your Cloud Agents Today

Metrics is live now in Mission Control.

Open it, explore what your cloud agents produced this week (or learn more about how to start using cloud agents with one-off tasks or in a Workflow, in Slack, or with our Integrations, and start tuning your automation for maximum engineering impact.

👉 https://hub.continue.dev

More visibility. Better AI automation. Cloud agents you can trust.