AI Briefing
KO

Introducing Mission Control: An Upgraded Developer AI Dashboard

·2025.12.01 23:21

Key point

Continue has redesigned and launched 'Mission Control,' which automatically turns dev-tool signals into code changes.

Details

Continue has completely redesigned and launched Mission Control, a new home base for building and scaling Continuous AI within developer workflows. This update goes beyond helping existing users leverage AI's power to understand codebases, focusing instead on making it easier for teams to operationalize AI and align it with the way they work.

Automation from Signal to Action

Development teams use dozens of tools—observability platforms, CI/CD, feature flags, and more—generating various signals, but connecting these to actual action requires manual investigation. Mission Control serves as an automation layer that turns signals from these tools into actions within the codebase. When an event in the stack is detected (an alert firing, a PR merging, etc.), a Workflow is triggered to automatically investigate, fix, document, and communicate.

The core components are as follows:

  • Task: Runs an Agent once for a one-off investigation or fix.
  • Workflow: Automates Tasks based on external triggers such as GitHub, Sentry, Slack, or cron schedules.
  • Integration: Connects to existing tools so Agents can read code, open PRs, and react to real-world events.

Strengthened Team Collaboration and Control

The new UI is organized around how developers actually work, so Sessions, Tasks, and Agents move through a triage → investigate → fix flow. Inbox tracks all tasks and Sessions in a single shared view, giving teams clear visibility into what's running and where human oversight is needed. Users retain control over Prompts, Rules, Tools, and Models, and can review and approve Workflows as needed.

All existing Agents and configurations have already been migrated or can start from a default agent, and are accessible at hub.continue.dev. Mission Control helps lower intervention rates over time and identify Workflows that can run safely with less oversight, helping users ship code as fast as possible while reserving human input for decisions that truly require judgment.

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