How to Automate the Ticket-to-PR Cycle with Symphony

Symphony is an orchestration layer for autonomous engineering runs. It hooks into Linear, spawns isolated workspaces, and assigns an AI agent to implement a ticket end to end. The agent writes code, runs tests, opens PRs, responds to reviews, and lands the change when CI passes.

What Symphony does

Symphony automates the full ticket-to-PR lifecycle. It monitors issue trackers for new tickets and creates ephemeral workspaces for each one. An autonomous agent gets the task context and test harness, then implements features, runs tests, and files pull requests.

The agent also handles review feedback and updates the PR until CI passes. Symphony can generate a walkthrough video before landing the change. This shifts the developer role from implementer to reviewer.

For teams already running durable autonomous agents in production with Gobii, Symphony adds a ticket-driven trigger layer on top of any agent stack.

Still reading? These two are worth your time: How to Use Nanobot as an Ultra-Light Personal AI Agent and How to Run Moltbot AI Assistants in Cloudflare Workers.

Project link:
https://github.com/openai/symphony

How it works

Symphony combines event triggers, ephemeral environments, and autonomous agents. The monitor watches Linear for new tickets. When a ticket appears, the workspace manager creates an isolated environment. The agent receives the task context and test harness.

The agent then implements the feature, runs tests, and opens a pull request. It responds to review feedback and updates the PR until tests pass. When CI succeeds, the change lands automatically.

The catch

Autonomous development agents carry safety and security risks. Symphony should run in isolated labs with human approvals for production merges. Start with small repos, noncritical branches, and explicit rollback policies. Measure flakiness, test coverage, and PR quality before scaling.

For agentic development patterns, see how to build and scale AI agents with OpenHands.