Runway

AI assistants are showing up everywhere in the mobile engineering workflow. In your editor, in your terminal, in the tabs you already had open. Ask one to write a function and it does a pretty good job. Ask it about your next release and you get something that sounds confident and is mostly wrong.

That's not the model's fault. The answer to "what's happening with this release?" doesn't live in any one place an assistant can read. It's spread across App Store Connect, Play Console, your CI, your version control, your monitoring stack, a few Slack threads, and someone's head. No assistant can reason about release state if it can't see release state.

That's the problem the Runway MCP solves. It exposes your live release context to the AI tools your team already uses, so they can actually answer questions about what's shipping, what's stuck, and what's about to change, instead of guessing.

In this session, we will walk through it end to end: how to connect the Runway MCP in under two minutes, four real release scenarios where it earns its keep, what's coming next, and live Q\&A.

**We'll cover:**

*   What MCP is, and why it matters specifically for mobile release work
*   A live setup — connecting the Runway MCP to your AI assistant of choice
*   Four release scenarios, walked through in real time: checking release status, debugging a stuck build, diffing what's changed, and drafting release notes
*   What's next on the MCP roadmap, and how to get access
*   Open Q\&A

If you're a mobile engineer, EM, or platform lead trying to figure out where AI actually earns its keep in your release process, this one's for you.
