Optio — Workflow Orchestrator for AI Coding Agents
Automates the full AI development lifecycle from task planning to merged PR. Orchestrates AI agents through planning, execution, code review, and merge. 800+ GitHub stars.
Instalación lista para agent
Este activo puede instalarse después de elegir el runtime, revisar el plan y ejecutar el comando correspondiente.
npx -y tokrepo@latest install 393e64de-c90a-40d7-b161-a522cf116ee9 --target codexEjecutar después de confirmar el plan con dry-run.
What it is
Optio is a workflow orchestrator that automates the full AI-assisted development lifecycle. It takes a task from planning through execution, code review, and PR merge by coordinating AI coding agents at each stage.
Optio targets engineering teams that use AI coding agents but need structured orchestration rather than ad-hoc prompting. It manages the handoff between planning, implementation, and review phases so the human stays in the approval loop without doing manual coordination.
The project is actively maintained and suitable for both individual developers and teams looking to integrate it into their existing toolchain. Documentation and community support are available for onboarding.
How it saves time or tokens
Optio reduces the context-switching overhead of manually prompting agents at each development stage. By defining the workflow once, it routes tasks through planning, coding, and review agents automatically. The estimated token budget is around 2,400 tokens per workflow execution. Teams report faster PR turnaround because the review step runs immediately after code generation.
How to use
- Define your workflow stages (plan, implement, review, merge) in the Optio configuration file.
- Submit a task description or issue reference to Optio.
- Optio dispatches the task to a planning agent, then routes the plan to an implementation agent.
- The generated code goes through an automated review agent. If approved, Optio opens a PR or merges directly based on your rules.
Example
# optio.config.yaml
workflow:
stages:
- name: plan
agent: planner
output: task_spec
- name: implement
agent: coder
input: task_spec
output: pull_request
- name: review
agent: reviewer
input: pull_request
approval_required: true
- name: merge
auto: true
condition: review.approved
Related on TokRepo
- AI Tools for Coding — Browse AI coding agents that Optio can orchestrate.
- AI Tools for Automation — Compare Optio with other workflow automation platforms.
Common pitfalls
- Skipping the review stage to move faster. Automated code generation without review introduces bugs and security issues. Keep the review agent or human approval in the loop.
- Configuring overly broad task descriptions. Optio works best with well-scoped tasks. Break large features into smaller units before submitting.
- Not setting token or cost limits per stage. Without limits, a verbose planning agent can consume excessive tokens before implementation even starts.
- Not reading the changelog before upgrading. Breaking changes between versions can cause unexpected failures in production. Pin your version and review release notes.
Preguntas frecuentes
Optio is agent-agnostic. It orchestrates any agent that can receive prompts and produce structured output. Common setups use Claude, GPT-4, or open-source models for different stages.
Optio integrates with GitHub for PR creation and merge workflows. GitLab and Bitbucket support is available through community plugins.
Yes. The workflow is fully configurable. You can add, remove, or reorder stages, add conditional branching, and set approval gates at any point in the pipeline.
Each stage has configurable retry logic and fallback behavior. If the review agent rejects code, Optio routes the feedback back to the implementation agent for revision. You set the maximum number of revision cycles.
Yes. Optio is open-source and available on GitHub. The project accepts community contributions for new agent integrations and workflow templates.
Referencias (3)
- Optio GitHub— Automates AI development lifecycle from planning to merge
- Optio Documentation— Orchestrates multiple AI agents through structured workflows
- Anthropic Claude Code Docs— Agent-based software development workflows
Relacionados en TokRepo
Fuente y agradecimientos
Created by Jon Wiggins. Licensed under MIT.
optio — ⭐ 800+
Thanks for automating the tedious parts of AI-assisted development.
Discusión
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