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Orbit Auto - Autonomous AI Development Tool for Orbit Projects

Project description

Orbit Auto

Autonomous AI development tool for completing programming tasks iteratively.

Installation

Requires Python 3.11+.

cd orbit-auto
pip install -e .

Or run directly:

python -m orbit_auto <task-name>

Quick Start

# Initialize a new task
orbit-auto init my-feature "Add user authentication"

# Run in parallel mode (default, 8 workers)
orbit-auto my-feature

# Run in sequential mode
orbit-auto my-feature --sequential

# Show execution plan without running
orbit-auto my-feature --dry-run

# Check task status
orbit-auto status my-feature

Usage

orbit-auto <task-name> [options]
orbit-auto init <task-name> "description"
orbit-auto status <task-name>

Options

Option Description
-w, --workers N Number of parallel workers (default: 8, max: 12)
-r, --retries N Max retries per task (default: 3)
--sequential, -s Run in sequential mode
--parallel, -p Run in parallel mode (default)
--dry-run Show execution plan without running
--fail-fast Stop all workers on first failure
-v, --visibility Output level: verbose, minimal, none
--no-color Disable colored output

Environment Variables

Variable Description
ORBIT_AUTO_VISIBILITY Default visibility level (verbose, minimal, none)

Task Structure

Tasks are organized in ~/.claude/orbit/active/<task-name>/:

~/.claude/orbit/active/my-feature/
+-- my-feature-tasks.md      # Checkbox task list
+-- my-feature-context.md    # Project context and learnings
+-- my-feature-plan.md       # Implementation plan
+-- my-feature-auto-log.md   # Iteration history (auto-created)
+-- prompts/                 # Optimized prompts (optional)
    +-- README.md
    +-- task-01-prompt.md
    +-- task-02-prompt.md
    +-- ...

Modes

Sequential Mode

Runs tasks one at a time, in order. Good for:

  • Simple linear workflows
  • Tasks that need careful human oversight
  • Debugging specific task failures

Parallel Mode

Runs multiple tasks concurrently, respecting dependencies. Good for:

  • Tasks with clear dependency graphs
  • Maximizing throughput
  • Large task sets with independent work

Requires prompts directory with YAML frontmatter defining dependencies:

---
task_id: "01"
task_title: "Add priority field"
dependencies: []
---

Exit Codes

Code Meaning
0 All tasks completed successfully
1 Max retries reached (failed)
2 Blocked on [WAIT] task
3 Configuration or setup error

Development

# Install dev dependencies
pip install -e ".[dev]"

# Run tests
pytest

# Type checking
mypy orbit_auto

# Linting
ruff check orbit_auto

Architecture

orbit_auto/
+-- __init__.py          # Package exports
+-- __main__.py          # Entry point: python -m orbit_auto
+-- cli.py               # Argument parsing, commands
+-- models.py            # Data models (Task, State, Config)
+-- dag.py               # Dependency graph builder
+-- state.py             # State management with file locking
+-- task_parser.py       # Parse tasks.md and prompts
+-- claude_runner.py     # Claude CLI integration
+-- display.py           # Terminal output and colors
+-- sequential.py        # Sequential execution
+-- parallel.py          # Parallel orchestration
+-- worker.py            # Worker process
+-- init_task.py         # Task initialization
+-- templates/           # Task templates

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