Software Engineering

Automating CI, rebases, and merge readiness in monorepos

AI agents monitor CI, rebase branches, resolve conflicts, retry flaky checks, and keep pull requests moving toward merge in large repositories where the last mile is slow and fragile.

Why the human is still essential here

Engineers still set quality bars, review risky changes, and make the final call on merging code into the main branch.

How people use this

CI failure auto-fix loop

An agent can watch failing pipeline runs, inspect logs, apply likely fixes, and push updated commits until tests pass or the issue needs human escalation.

Devin / GitHub Actions

Stale branch rebase resolution

For long-lived pull requests in a monorepo, AI can continuously rebase branches onto main, resolve routine merge conflicts, and rerun impacted checks.

OpenAI Codex / Graphite

PR feedback and merge queue follow-up

After reviewers leave comments, an agent can implement requested changes, refresh the PR summary, and keep the change moving through the merge queue.

GitHub Copilot / Claude Code

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Latest community stories (1)

News

An open-source spec for Codex orchestration: Symphony

To solve this new problem, we built a system called Symphony. Symphony is an agent orchestrator that turns a project-management board like Linear into a control plane for coding agents. Every open task gets an agent, agents run continuously, and humans review the results.

This post explains how we created Symphony—resulting in a 500% increase in landed pull requests on some teams—and how to use it to turn your own issue tracker into an always-on agent orchestrator.

Alex Kotliarskyi, Victor Zhu, and Zach BrockOpenAI engineers

Apr 27, 2026