maestro

Overview

maestro is a Go command-line toolkit for managing a working AI-tooling environment. It gathers a set of tasks that otherwise live as scattered scripts — configuring tools, keeping state consistent, and moving files and text around — into one coherent CLI with a predictable surface.

It is a private project in active development, built the way I would build something a team depends on: interfaces first, state you can trust, and quality gates that run on every change.

What it does

The toolkit covers five broad areas:

• Task orchestration — chain and run multi-step operations.
• Configuration management — keep tool configurations consistent.
• File-system operations — safe, repeatable file handling.
• Shell utilities — the small helpers you always end up rewriting.
• Text processing — transform and inspect content from the terminal.

Each area lives behind a clean interface, so commands stay small and the underlying implementation can change without breaking the surface.

Architecture

The codebase follows an interface-based Go layout: each package owns a clear boundary and can be tested on its own. Persistence goes through SQLite with embedded migrations, which means the tool can version its own state without shipping an external database or running migrations by hand.

maestro/
├── cmd/               # 35 CLI commands
├── internal/
│   └── .../           # focused internal packages
├── database/
│   └── migrations/    # embedded SQLite migrations
└── .github/
    └── workflows/     # CI: build → vet → test-race → coverage

Quality gates

Nothing lands without passing the same pipeline: the code must build, pass vet, survive race-detection tests, and keep coverage healthy. The same checks run as pre-commit hooks locally and in CI, so a green branch means the same thing on your machine and on the server.

Status

Pre-v1.0 and in active development. The command surface has settled; the remaining work is polishing the interface and expanding coverage before a first tagged release.