Key Features
Explore the powerful capabilities of the AI Code Review Agent.
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Features overview
A quick look at powerful features of Bito's AI Code Review Agent—click to jump to details.
AI that understands your code
The AI Code Review Agent understand code changes in pull requests. It analyzes relevant context from your entire repository, resulting in more accurate and helpful code reviews.
To comprehend your code and its dependencies, it uses Symbol Indexing, Abstract Syntax Trees (AST), and Embeddings.
One-click setup for GitHub, GitLab, and Bitbucket
Bito Cloud offers a one-click solution for using the AI Code Review Agent, eliminating the need for any downloads on your machine.
Bito supports integration with the following Git providers:
Automated and manually-triggered AI code reviews
By default, the AI Code Review Agent automatically reviews all new pull requests and provides detailed feedback. To initiate a manual review, simply type /review in the comment box on the pull request and submit it. This action will start the code review process.
Pull request summary
Get a concise overview of your pull request (PR) directly in the description section, making it easier to understand the code changes at a glance. This includes a summary of the PR, the type of code changes, whether unit tests were added, and the estimated effort required for review.
The agent evaluates the complexity and quality of the changes to estimate the effort required to review them, providing reviewers the ability to plan their schedule better. For more information, see What is "Estimated effort to review" in code review output?
Changelist
A tabular view that displays key changes in a pull request, making it easy to spot important updates at a glance without reviewing every detail. Changelist categorizes modifications and highlights impacted files, giving you a quick, comprehensive summary of what has changed.
One-click to accept suggestions
The AI-generated code review feedback is posted as comments directly within your pull request, making it seamless to view and address suggestions right where they matter most.
You can accept the suggestions with a single click, and the changes will be added as a new commit to the pull request.
Incremental code reviews
AI Code Review Agent automatically reviews only the recent changes each time you push new commits to a pull request. This saves time and reduces costs by avoiding unnecessary re-reviews of all files.
You can enable or disable incremental reviews at the Agent instance level or workspace level, giving your team more control over the review process. Contact support@bito.ai to customize this feature according to your team's needs.
Code review analytics
Get in-depth insights into your org’s code reviews with user-friendly Code Review Analytics dashboard. Track key metrics such as pull requests reviewed, issues found, lines of code reviewed, and understand individual contributions.
Custom code review rules and guidelines
The AI Code Review Agent offers a flexible solution for teams looking to enforce custom code review rules, standards, and guidelines tailored to their unique development practices. Whether your team follows specific coding conventions or industry best practices, you can customize the Agent to suite your needs.
We support two ways to customize AI Code Review Agent’s suggestions:
Provide feedback on Bito-reported issues in pull requests, and the AI Code Review Agent automatically adapts by creating code review rules to prevent similar suggestions in the future.
Submit your custom code review guidelines to Bito, and we will implement them within your Bito workspace.
Multiple specialized engineers for targeted code analysis
The AI Code Review Agent acts as a team of specialized engineers, each analyzing different aspects of your pull request. You'll get specific advice for improving your code, right down to the exact line in each file.
The areas of analysis include:
Security
Performance
Scalability
Optimization
Will this change break anything? Based on the diff can we include anything?
Code structure and formatting (e.g., tab, spaces)
Basic coding standards including variable names (e.g., ijk)
This multifaceted analysis results in more detailed and accurate code reviews, saving you time and improving code quality.
Integrated feedback from dev tools you use
Elevate your code reviews by harnessing the power of the development tools you already trust. Bito's AI Code Review Agent seamlessly integrates feedback from essential tools including:
Static code analysis
Open source security vulnerabilities check
Linter integrations
Secrets scanning (e.g., passwords, API keys, sensitive information)
Static code analysis
Using tools like Facebook’s open-source fbinfer (available out of the box), the Agent dives deep into your code—tailored to each language—and suggests actionable fixes. You can also configure additional tools you use for a more customized analysis experience.
Open source security vulnerabilities check
The AI Code Review Agent checks real-time for the latest high severity security vulnerabilities in your code, using OWASP Dependency-Check (available out of the box). Additional tools such as Snyk, or GitHub Dependabot can also be configured.
Linter integrations
Our integrated linter support reviews your code for consistency and adherence to best practices. By catching common errors early, it ensures your code stays clean, maintainable, and aligned with modern development standards.
Secrets scanning
Safeguard your sensitive data effortlessly. With built-in scanning capabilities, the Agent checks your code for exposed passwords, API keys, and other confidential information—helping to secure your codebase throughout the development lifecycle.
Supports all major programming languages
No matter if you're coding in Python, JavaScript, Java, C++, or beyond, our AI Code Review Agent has you covered. It understands the unique syntax and best practices of every popular language, delivering tailored insights that help you write cleaner, more efficient code—every time.
Enterprise-grade security
Bito and third-party LLM providers never store or use your code, prompts, or any other data for model training or any other purpose.
Bito is SOC 2 Type II compliant. This certification reinforces our commitment to safeguarding user data by adhering to strict security, availability, and confidentiality standards. SOC 2 Type II compliance is an independent, rigorous audit that evaluates how well an organization implements and follows these security practices over time.
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