What is a Maestro 'track'?

A track represents a discrete unit of work, such as a feature, bug fix, or chore, which Maestro guides through three phases: interactive specification, detailed planning, and automated implementation.

How does Maestro handle agent selection?

Maestro automatically analyzes task complexity to delegate work to specialized personas, such as 'oracle' for architecture, 'librarian' for codebase analysis, or 'frontend-ui-ux-engineer' for interface work.

Can I use Maestro on an existing codebase?

Yes, the /maestro setup command identifies 'brownfield' projects, analyzes existing code to understand the tech stack, and initializes the Maestro framework accordingly.

Does Maestro support Test-Driven Development?

Absolutely. Maestro enforces a strict TDD loop: it writes failing tests first, implements the minimal code required to pass, and then refactors for quality and coverage.

How do I see the progress of my project?

Use the /maestro status command to view completion statistics, current phases, pending actions, and any identified blockers across all active tracks.

Maestro Spec-Driven Development

Name: Maestro Spec-Driven Development
Author: scooter-lacroix

byscooter-lacroix

Productivity & Workflow

Manages the end-to-end software development lifecycle through structured specification, automated planning, and multi-agent implementation orchestration.

About

Maestro is a comprehensive spec-driven development framework designed for Claude Code, enabling developers to transform high-level ideas into production-ready code via structured 'tracks.' It automates the heavy lifting of project initialization, requirement gathering, and task breakdown while intelligently delegating implementation tasks to specialized AI agents. By enforcing a Test-Driven Development (TDD) workflow and maintaining persistent project memory, Maestro ensures consistency across complex feature implementations and provides granular control over progress through its built-in status and revert systems.

Key Features

0 GitHub stars
Interactive specification and plan generation for features and bug fixes
Automatic orchestration of specialized agents like Oracle, Librarian, and UI Engineer
Structured project initialization for both greenfield and existing brownfield codebases
Strict Test-Driven Development (TDD) workflow enforcement with automated test-implement-refactor cycles
Granular recovery options to revert work at the track, phase, or individual task level

Use Cases

Establishing a standardized development workflow and technical stack for new software projects
Decomposing complex feature requests into actionable technical specifications and implementation plans
Managing multi-agent AI coding sessions with persistent memory and git-aware progress tracking

About

Key Features

0 GitHub stars
Interactive specification and plan generation for features and bug fixes
Automatic orchestration of specialized agents like Oracle, Librarian, and UI Engineer
Structured project initialization for both greenfield and existing brownfield codebases
Strict Test-Driven Development (TDD) workflow enforcement with automated test-implement-refactor cycles
Granular recovery options to revert work at the track, phase, or individual task level

Use Cases

Establishing a standardized development workflow and technical stack for new software projects
Decomposing complex feature requests into actionable technical specifications and implementation plans
Managing multi-agent AI coding sessions with persistent memory and git-aware progress tracking