
Give Every Agent PR a Live Preview: Railway Environments for AI Pull Requests
Railway preview environments for agent pull requests: an isolated copy of your whole stack for every PR, so you verify agent changes by running them.
7 articles

OpenCode server on Railway: run opencode serve in a container as a password-protected HTTP API with a persistent volume, reachable from any machine or webhook.

Railway preview environments for agent pull requests: an isolated copy of your whole stack for every PR, so you verify agent changes by running them.

Build an AI pull request reviewer on Railway: a webhook service runs OpenCode headless on every PR diff and posts findings as a review, never touching the code.

Put a coding agent in Discord: a /ask slash command runs headless OpenCode on a fresh repo clone and posts answers to the channel, deployed on Railway.

Deploy from OpenCode with Railway's MCP server: create the project, deploy the service, assign a domain, set variables and read logs as agent tool calls.

Ship a remote MCP server: now that MCP is stateless, build one with an agent, deploy it on Railway, and point opencode or Claude Code at the public URL.

Deploy an AI agent behind a GitHub webhook on Railway with OpenCode headless, so a labeled issue becomes a tested pull request. The full build, step by step.
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