That's great! It sounds like you already understand the value of these AI use cases. There are a couple of significant differences that LinearB offers in this regard:
Level of Control - Copilot will either run on all PRs or only when requested and only with users who have an active subscription. LinearB provides AI reviews for all developers, and we give granular and centralized control that is super flexible (yaml). When a DevEx team is trying to scale process changes across teams, this level of control enables them to be more effective.
Orchestration - When our AI review provides a LGTM comment, many customers will then allow gitStream to automatically approve the PR if it's small and/or a safe change. This creates direct time savings for the team. On the other hand, you can also trigger additional reviews by the code experts or specific teams.
Suggested Fixes - Copilot only provides suggested fixes for minor errors like typos. LinearB is far more dynamic, not only identifying major bugs but also providing suggestions for correcting the error.
Context Rich - As your data provider, LinearB is already connected to your code, issues, incidents and releases, making our AI code reviews more context rich than copilot's. While we aren't using all of this data at this moment, future enhancements on this feature will allow us to customize reviews and orchestration to your organization.
Cost - Our AI code reviews are free, as they are already bundled into your LinearB subscription. Copilot's "Review Changes" is a premium feature that has a pre-set quota based on your subscription type.