The DIY path works. Anthropic's Claude Code GitHub Action responds to @claude mentions on issues and PRs, commits changes to a branch, and links a ready-to-open pull request. OpenAI's Codex Action runs the Codex CLI headless in a workflow. An n8n GitHub Trigger or a cron job watches a label and kicks off an agent run. With one provider and a team that owns YAML, that is enough, and ProPR runs alongside it.
The DIY stack leaves you to build the product around the loop: planning, context previews, model comparison, retries, and unified records. When something breaks at 2am, the record of what the agent saw, did, and cost is scattered across CI logs.
ProPR ships that layer on your infrastructure: plan with visible context, run each task in isolation, route any supported agent or model per task, refine the PR from GitHub comments, and keep prompts, diffs, logs, and cost attached to every task.