Ship Code at Scale with Grok Bot and Cursor

Ryan describes the traditional path from request and triage through design, build, review, and QA. He argues teams can shorten that cycle by having people and bots collaborate in the same thread. In one example, a bug report was reviewed, reproduced, and refined with a designer before it was merged about an hour and a half after the report.

Ryan says bots can capture practical guidance such as how to reproduce bugs and what counts as done. Teams can add skills and guardrails when a bot misses something, such as checking both light and dark modes. He recommends starting with exploratory personal bots, sharing useful ones as team bots, and adding more structure as trust grows.

Ryan demonstrates long-lived bots with their own browser, connections, memory, and skills. His Grafana reproduction bot initially tried the public site, so he taught it to work locally and use a prepared cloud agent environment. He then shared the bot with the team so others could reproduce issues across eight repositories.

Ryan recommends the Bot Development Kit for tasks that need deterministic behavior, versioning, or evaluations, such as routing incoming issues to the right repository. He shows routing and reproduction agents working together, with an evaluation suite that passed 48 of 50 cases. The BDK also provides deployment, logs, metrics, traces, and integrations with tools such as Slack.

The hosts describe a progression from personal experiments to shared team bots and, when useful, coded agents with verification. Ryan points to settings for controlling computer access, sharing, network egress, and permitted MCP connections. As an example of a larger feedback loop, he describes bots that help build and operate a mobile game, including creating ads and responding to app store issues.