New Update - 12th July 2024 | AI Code Review Agent #217

rohankokkulabito · 2024-07-15T12:15:44Z

rohankokkulabito
Jul 15, 2024

Explore our new analytics dashboards for in-depth insights into your code review process.
These user-friendly reports help you track key metrics such as pull requests reviewed, issues found, lines of code reviewed, and understand individual contributions.

For GitLab, we've added support for emoji-based reactions, while for GitHub, you can respond to feedback question(s) given at the end of code review comments.
This will help your team track the quality of suggestions provided by the AI Code Review Agent through the "Acceptance Rate" statistics available on the code review analytics dashboard.

Stay on top of how your team is using Bito AI.
With the Requests Usage dashboard, you can easily see how many AI requests your team members and AI Agents are making.
The Usage Management dashboard allows you to manage resources and control costs efficiently.
This way, you can ensure that you're getting the most out of Bito AI without overspending.

Our improved AI prompts now offer superior comprehension of your code context, significantly increasing the accuracy in identifying and addressing code issues.
With Bito AI, critical problems are less likely to be overlooked, ensuring you receive a thorough and reliable code analysis.

Bito AI now analyzes both immediate context and broader structure of code in CSS, SCSS, and Terraform files, including nested configurations and dependencies.
This enables Bito to provide more accurate suggestions, optimizations, and error detections.
For CSS and SCSS, Bito AI identifies patterns and offers improvements in style management and consistency.
For Terraform, it understands and optimizes infrastructure as code, ensuring more efficient and scalable deployments.

We've made changes to how the AI Code Review Agent presents its feedback to enhance clarity and usability.