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
Project details
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