How would you improve Bugbot so developers act on more of its pull-request review comments?

Introduction

Bugbot is Cursor's AI code reviewer. Launched in July 2025, it reviews GitHub pull requests, leaves comments on likely bugs and security issues, and offers a "Fix in Cursor" link that opens the problem in the editor with the agent ready to patch it. Teams pay for it as an add-on, reported at around $40 per user per month, so its value depends on one thing: do developers act on what it says? If engineers learn to scroll past Bugbot comments, the product becomes noise and the seat gets cancelled at renewal.

The question is how to improve Bugbot so developers act on more of its comments. I'll clarify the goal, segment users, map pain points along the review journey, generate solutions, prioritise with RICE and define how we would measure success.

Step 1

Clarifying Questions (5 mins)

• Looking at the current state, what share of Bugbot comments lead to a code change, a "Fix in Cursor" click or a reply today? I'll assume around 30% of comments result in a change, with wide variance by repository.

• Thinking about outcomes, do we care about the action rate itself, or about bugs prevented in production? I'll treat "valid bugs fixed before merge" as the real goal and action rate as a proxy.

• On users, who reads Bugbot comments: the PR author, reviewers, or both? I'll assume authors are the main actors, while reviewers use Bugbot as a first pass.

• On constraints, can we change the underlying review model, or only the product surface? I'll assume both are in scope, including rules and configuration.