Application architecture · Agent orchestration · Full-stack engineering · 2026
Maestro
A project workspace for agent execution, streamed output and reviewable engineering artifacts.
Engineering project · Private source
The problem
AI-generated work needs project context, execution state and a place to review the result. I developed Maestro as a workspace that connects project goals to agent runs, streamed output, persisted artifacts and review decisions.
Engineering
A Next.js and TypeScript workspace connects to a Bun worker and execution adapters. PostgreSQL stores project and run records, while Redis supports streams, locks and queue operations. Authenticated server routes stream execution output through Server-Sent Events, keeping the interface connected to the worker lifecycle.
Execution and review
The orchestration layer defines explicit transitions from creation and scoping through execution, generated output and review. Shared contracts connect job types, runners, logs and artifacts. Review actions let a person approve, edit or reject the resulting work, with state transitions represented in the application.
Project scope
The repository includes component generation, UX audit and design-system job types, workspace management and infrastructure configuration. This case study presents the implemented application structure and execution workflow. The cover illustrates those system boundaries.
Project visuals
Select an image to view it at full size.
