Introducing Turbo Review: Next-gen PR Reviews with Agentic Workflow and Full Codebase Context
Code reviews are a critical step in ensuring the quality, security, and maintainability of code. However, most existing PR review tools focus primarily on the PR diff, often overlooking deeper aspects like code design and overall code quality. They might catch logical errors, highlight test coverage issues, or flag potential security risks, but they often miss the key value-add items:
- Is the code well-designed?
- Can the class structure or functions be simplified without losing functionality?
- Does the code fit right with existing code?
We’re excited to introduce Turbo Review — a next-generation PR review solution that takes code reviews to the next level. Turbo Review goes beyond just analyzing the code diff; it intelligently parses and integrates codebase dependencies, uses indexed codebase data, and employs an agentic workflow to provide a more comprehensive review of your PRs.
The Customer Problem
Code reviews are multifaceted and often require a holistic view to effectively identify critical issues while distinguishing between blockers and non-blockers. However, many current PR review tools fall short of creating the magic that users expect.
Common complaints include:
- Redundant Recommendations: Recommending changes that have already been made.
- Overzealous Security Warnings: Flagging every hard-coded item as a security risk.
- Overemphasis on Minor Issues: Focusing on trivial matters while missing bigger opportunities such as:
- Rewriting an entire file for better structure
- Recommending a concept be implemented as a class rather than a function
- Assessing how changes might affect users of the software
- Failing to recognize the impact of changes on other parts of the codebase
In many ways, AI-generated PR reviews are only reviewing for correctness, not for quality. This approach misses the broader context and the opportunity to improve the codebase in a meaningful way.
How Turbo Review Solves This
With Turbo Review, we aim to bridge the gap between traditional PR reviews and a more complete, context-aware evaluation of the code. By leveraging an agentic workflow and comprehensive codebase context, Turbo Review provides actionable insights that go beyond just correctness, offering real value in terms of design, functionality, and overall code quality.
It goes just highlight style, possible bugs, minor changes and evaluates:
- Design: Is the code well-designed and appropriate for your system?
- Functionality: Does the code behave as intended, and is it good for users?
- Complexity: Could the code be made simpler and easier to understand?
- Tests: Are the automated tests correct and well-designed?
- Naming: Are the names of variables, functions, and classes clear and aligned with their purpose?
These elements are crucial for ensuring code quality and design, and Turbo Review helps your adhere to you.
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Turbo Review is currently in an experimental phase, but we’re excited about the potential it holds for transforming how PR reviews are conducted. Try on Archie AI!