Optio — Workflow Orchestrator for AI Coding Agents

Workflow Stages

1. Planning

Optio analyzes the task and creates a structured plan:

optio plan "Add rate limiting to API endpoints"
# Output:
# Step 1: Identify all API route handlers
# Step 2: Choose rate limiting strategy (token bucket)
# Step 3: Implement middleware
# Step 4: Add configuration options
# Step 5: Write integration tests
# Step 6: Update API documentation

2. Execution

The coding agent implements each step with progress tracking:

optio execute --plan plan-001
# [1/6] Analyzing route handlers... done
# [2/6] Implementing token bucket... done
# [3/6] Creating middleware... done
# ...

3. Validation

Automatic test execution and lint checking:

# Runs test suite, linters, type checkers
# Fixes issues automatically when possible
# Reports blockers that need human input

4. PR Creation

Opens a pull request with structured description:

## Changes

- Added rate limiting middleware (token bucket algorithm)
- Configuration via environment variables
- Integration tests for all rate-limited endpoints

## Test Results

- 42 tests passed, 0 failed
- Coverage: 89% on new code

5. Review Response

When reviewers leave comments, Optio addresses them:

optio review respond PR-123
# Reads review comments
# Makes requested changes
# Pushes updates
# Replies to each comment

Key Stats

• 800+ GitHub stars
• 5-stage workflow automation
• Supports multiple coding agents
• GitHub and GitLab integration
• Configurable review policies

FAQ

Q: What is Optio? A: Optio is a workflow orchestrator that automates the full AI development lifecycle — from task understanding through planning, coding, testing, PR creation, and review response.

Q: Is Optio free? A: Yes, open-source under MIT license.

Q: How is Optio different from just using Claude Code? A: Claude Code writes code. Optio orchestrates the entire workflow — planning, execution, testing, PR creation, and review response — so you can delegate complete tasks, not just coding steps.