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Maestro hones fractured attention into focused intent. It is built for developers who need to coordinate multiple AI agents, repositories, and long-running tasks without leaving a keyboard-first workflow.

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Spec-Driven Workflow

Maestro enables a specification-first approach to AI-assisted development. Instead of ad-hoc prompting, you collaboratively build detailed specs with the AI, then execute them systematically:
  1. PLAN - Discuss the feature with the AI agent
  2. SPECIFY - Create markdown docs with task checklists in the Auto Run document folder
  3. EXECUTE - Auto Run works through tasks, spawning a fresh session per task
  4. REFINE - Review results, update specs, and repeat
Why this works:
  • Deliberate planning - Conversation forces you to think through requirements before coding
  • Documented specs - Your markdown files become living documentation
  • Clean execution - Each task runs in isolation with no context bleed
  • Iterative refinement - Review, adjust specs, re-run - specs evolve with your understanding
Example workflow:
  1. Plan: In the AI Terminal, discuss your feature: “I want to add user authentication with OAuth support”
  2. Specify: Ask the AI to help create a spec: “Create a markdown checklist for implementing this feature”
  3. Save: Copy the spec to your Auto Run document folder (or have the AI write it directly)
  4. Execute: Switch to Auto Run tab, select the doc, click Run - Maestro handles the rest
  5. Review: Check the History tab for results, refine specs as needed
This approach mirrors methodologies like Spec-Kit, but with a graphical interface, real-time AI collaboration, and multi-agent parallelism.

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Key Concepts