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Kilo | Code Reviewer

AI-powered code reviews that catch bugs before merge.

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Kilo | Code Reviewer

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AI-powered code reviews that catch bugs before merge.

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Overview

Kilo Code Reviewer is an AI-powered platform that offers automated code reviews aimed at helping teams ship code more efficiently. The tool parses your codebase, identifies bugs prior to merging, and facilitates continued learning through its review suggestions.

Essential to its operation, Kilo Code Reviewer automatically identifies newly submitted pull requests, examines the associated changes for any potential bugs, security vulnerabilities, bandwidth issues, or style violations, guided by your predefined parameters.

The platform provides robust and actionable feedback, making specific suggestions and offering explanations with concrete code examples. This potentially lessens the load on human reviewers by handling preliminary issues.

Moreover, it offers options to personalize the review style and focus, ranging from areas like security, performance, bugs, code style, test coverage, to documentation.

Kilo Code Reviewer is compatible with GitHub and GitLab, ensuring secure operations with read-only access to your code. Another remarkable feature is its local review capabilities, which allow developers to examine their code in their IDE before committing, thereby catching bugs or security issues before they are integrated into the repository.

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Initial release of Kilo | Code Reviewer.

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Pros and Cons

Pros

Scrutinizes new pull requests

Detailed feedback

Detects potential issues

Security threats analysis

Performance difficulties detection

Style violations checks

User-determined settings

Comment-based suggestions

Issues rectification code examples

Easy setup process

GitHub integration

GitLab integration

Review style customization

Review focus settings

Custom instructions input

Local code reviews capability

Real-time feedback

Productivity increase

Post-merge issues reduction

Free with certain models

IDE integration

Continuous learning facilitation

Secure operations

Pull requests automatic identification

Readable and actionable feedback

Guided by predefined parameters

Documentation review

Test coverage analysis

Enforces coding standards

Local code review in IDE

Inline comments on PR

State-of-the-art models

Strict, balanced, lenient review styles

Supports coding architectural patterns

Trusted by 1.4M+ developers

Read only access

Potential bugs identification

Security vulnerabilities detection

Code quality issues detection

VS Code integration

JetBrains integration

Eliminates easy-to-catch bugs

Prevents failed CI pipelines

Cloud Agents integration

IDE Extensions

App Builder integration

View 41 more pros

Cons

No Bitbucket integration

No multiple platform support

Requires manual setup

No automated learning

No standalone application

No team collaboration features

Doesn't support all IDEs

Unknown cost with certain models

View 3 more cons

Q&A

What is Kilo Code Reviewer?

Kilo Code Reviewer is an AI-powered tool utilized for reviewing and analyzing code. It automatically reviews new pull requests and offers detailed feedback based on the analyzed code. It comes with the capability of detecting bugs, security threats, performance difficulties, and style violations. The tool makes it convenient for developers to make adjustments before the code undergoes a human review.

How does Kilo Code Reviewer analyse code?

Kilo Code Reviewer analyzes code via its AI models. It examines new pull requests, scrutinizes changes, and checks for potential issues including bugs, security threats, performance problems, and style violations. The focus and detail of the review can be customized based on user determined settings.

What kind of issues can Kilo Code Reviewer detect?

Kilo Code Reviewer can detect a variety of issues. These include bugs, security threats, performance difficulties, and style violations. The detection and focus of these issues can be adjusted based on the settings determined by the user.

How does Kilo Code Reviewer provide feedback?

Kilo Code Reviewer provides feedback in the form of inline comments on pull requests. These comments contain specific suggestions, explanations, and code examples to help rectify detected issues. This feedback mechanism allows developers to address issues before the code undergoes a human review.

Can Kilo Code Reviewer be integrated with GitHub and GitLab?

Yes, Kilo Code Reviewer can be easily integrated with GitHub and GitLab. Users can connect their repositories with these platforms in just one click, making it an efficient tool for any project undergoing development on these platforms.

How do I set up Kilo Code Reviewer for my project?

Setting up Kilo Code Reviewer is a simple four-step process. Firstly, connect your GitHub or GitLab repository. Secondly, choose a suitable AI model for code analysis from available models. Thirdly, set your review style and focus, deciding how detailed the reviews should be and what the main focus of i.e. security, performance, bugs etc. should be. Fourthly, add custom instructions to tell the AI about specific coding standards or areas of importance to observe.

+ Show 34 more

Can I input custom instructions into Kilo Code Reviewer?

Yes, Kilo Code Reviewer allows users to input custom instructions. Users can tell the AI about their coding standards, architectural patterns, or specific things to watch for. The AI is designed to learn and adapt to team's preferences over time.

Does Kilo Code Reviewer support local code reviews?

Yes, Kilo Code Reviewer supports local code reviews. It can review changes locally in user's Integrated Development Environment (IDE) even before the code is committed. It thus provides instant feedback on uncommitted changes, enabling catching of issues before the code reaches the repository.

How does Kilo Code Reviewer deal with potential post-merge issues?

Kilo Code Reviewer mitigates potential post-merge issues by identifying and rectifying coding issues before they reach the code repository. By offering real-time feedback on pull requests and even uncommitted changes, it allows developers to address these issues early in the development cycle. This reduces the chances of any post-merge issues.

Is Kilo Code Reviewer free?

Yes, Kilo Code Reviewer is available for free with certain AI models, such as the MiniMax M2.1 or the GLM 4.7 models. It allows unlimited AI-powered code reviews when these models are used.

What AI models can I use with Kilo Code Reviewer?

Kilo Code Reviewer allows users to choose from a variety of AI models for code analysis. These include state-of-the-art models like Claude 4 Opus for a deeper analysis and cost-effective options like Gemini 2.5 Pro for routine reviews.

Can I determine the focus and style of Kilo Code Reviewer?

Yes, users can set the focus and style of their code reviews with Kilo Code Reviewer. They can adjust how thorough the reviews should be (strict, balanced, or lenient), and choose what to emphasize (security, performance, bugs, code style, test coverage, or documentation).

Does Kilo Code Reviewer automatically review new pull requests?

Yes, Kilo Code Reviewer automatically detects and reviews new pull requests. The system scrutinizes changes in these requests and provides actionable feedback to help rectify detected issues.

Can Kilo Code Reviewer catch bugs before the code reaches the repository?

Yes, Kilo Code Reviewer can catch bugs before the code reaches the repository. It offers real-time feedback on uncommitted changes in the user's IDE, thus enabling potential bugs, security vulnerabilities, and code quality issues to be addressed early in the development process.

How does Kilo Code Reviewer integrate with my Integrated Development Environment?

Kilo Code Reviewer integrates seamlessly with a user's Integrated Development Environment (IDE). It allows local code reviews within the IDE, providing real-time feedback on uncommitted changes. This review can be run directly in VS Code or JetBrains giving instant feedback without leaving the editor.

What coding platforms can Kilo Code Reviewer integrate with?

Kilo Code Reviewer is highly adaptable and can integrate with several popular coding platforms. Specific platforms include GitHub and GitLab, with Bitbucket integration also in the pipeline.

What does real-time feedback from Kilo Code Reviewer look like?

The real-time feedback from Kilo Code Reviewer is provided in the form of inline comments on pull requests. It gives specific suggestions, explanations, and code examples to address any issues discovered in the code. This gives developers an opportunity to learn from these comments and implement necessary changes before the code undergoes a human review.

In what ways can Kilo Code Reviewer increase developer productivity?

Kilo Code Reviewer increases developer productivity by streamlining the code review process. By catching bugs and other issues early in the development cycle, it reduces the time wasted in fixing post-merge problems. It also enforces coding standards consistently and provides learning opportunities from review suggestions which leads to continual improvement in coding standards and thus productivity.

What makes Kilo Code Reviewer's code reviews AI-powered?

Kilo Code Reviewer's code reviews are AI-powered as they utilize cutting-edge AI models to analyze the code. This AI technology can review code at a deeper level, recognize and learn coding patterns, monitor user-defined focus areas such as security or performance, and adapt to a team's preferences over time. Furthermore, it can detect bugs, security threats, performance issues, as well as style violations, providing instructive feedback to assist in their rectification.

How does Kilo Code Reviewer support different review styles?

Kilo Code Reviewer supports different review styles by allowing users to customise the level of thoroughness in their reviews. The review style can be set to strict, balanced, or lenient. The tool also allows users to direct the AI's focus towards specific areas they are interested in such as security, performance, bugs, code style, test coverage, or documentation.

What exactly is the Kilo Code Reviewer?

Kilo Code Reviewer is an AI-based tool that provides automated reviews and analyses of code. It inspects pull requests automatically, offering complete feedback derived from the evaluated code. The tool checks for possible problems such as bugs, security risks, performance issues, and style infringements according to user's specified settings. It allows developers to make improvements before the code undergoes a human review. Kilo Code Reviewer supports comment-based recommendations, elucidations, and code examples to aid in rectifying problems. The tool is flexibly designed for easy setup, allowing users to link with platforms like GitHub or GitLab, select appropriate AI models for analysis, set the review style and focus, and provide custom instructions for code inspection.

How does Kilo Code Reviewer leverage AI for code reviewing?

Kilo Code Reviewer benefits from artificial intelligence to automatically inspect new pull requests and deliver detailed feedback derived from code analysis. By using AI, the tool provides thorough, accurate and instant feedback, pinpointing potential issues including bugs, security risks, performance constraints, and style violations. AI allows it to review code more efficiently and consistently than a human reviewer could, and on a vastly larger scale. It provides practical recommendations, explanations, and code examples to help rectify the identified problems.

How does Kilo Code Reviewer interact with pull requests on platforms like GitHub or GitLab?

Kilo Code Reviewer scans new pull requests on platforms like GitHub or GitLab automatically. Once a pull request is submitted, the tool assesses the associated changes for potential issues like bugs, security threats, bandwidth problems, or style infringements according to user-specific settings. The tool returns feedback in the form of inline comments on the pull request, providing specific recommendations, explanations, and code examples.

Can Kilo Code Reviewer detect bugs before they reach the code repository?

Yes, Kilo Code Reviewer is designed to detect bugs before they reach the code repository. The tool analyzes new code for potential issues, which includes bugs, security risks, performance hurdles, and style breaches. The AI-powered system aids in identifying these issues prior to merging code, thus increasing the overall code quality, boosting productivity, and reducing the potential for problems after merging.

What type of feedback and suggestions does the Kilo Code Reviewer provide?

Kilo Code Reviewer provides comprehensive and actionable feedback. It offers comment-based suggestions, backed by explanations and real-world code examples to help rectify identified issues. The feedback is tailored specifically to the issues found in your code. This proactive nature of feedback aids in uncovering and fixing possible problems before the code undergoes a human review.

How can I adjust the settings on Kilo Code Reviewer to focus on specific issues?

In Kilo Code Reviewer, users can adjust the settings to focus on specific areas they're interested in. By setting your review style and focus, you have the ability to specify considerations like security, performance, bugs, code style, test coverage, and documentation. These settings can be easily adjusted according to your project requirements and coding standards, giving you a customized review experience.

How can I make use of Kilo Code Reviewer within my own Integrated Development Environment (IDE)?

Kilo Code Reviewer allows users to perform local code reviews within their own Integrated Development Environment (IDE). This feature provides developers realtime feedback on uncommitted changes. Developers can run a local code review directly in their IDE, such as VS Code or JetBrains, get instantaneous feedback on their uncommitted modifications, and catch any potential issues before they are integrated into the repository.

What are the key benefits of using Kilo Code Reviewer?

Key benefits of using the Kilo Code Reviewer include automatic code review to identify potential issues before they reach production, enforcing coding standards consistently across the project, learning from review suggestions to improve coding skills, and complementing human code review to ensure best practices are followed.

Does Kilo Code Reviewer also check for security vulnerabilities in the code?

Yes, Kilo Code Reviewer checks for potential security vulnerabilities in the code. As a part of its review process, it scans through code pertaining to new pull requests, identifying any potential security threats based on the user's predefined settings.

How can Kilo Code Reviewer assist in performance optimization of my code?

Kilo Code Reviewer aids in the performance optimization of code by identifying areas that can cause performance issues. Based on user-defined settings, the tool scans newly submitted pull requests and examines the related code changes for any performance glitches or bandwidth problems. By flagging these issues, it enables developers to address such concerns before the code undergoes further reviews.

Can Kilo Code Reviewer analyze my test coverage?

Yes, Kilo Code Reviewer can analyze test coverage. During its review, it focuses on various areas specified by the user, which might include test coverage. By performing a comprehensive examination of the code, Kilo Code Reviewer can point out areas where test coverage might be inadequate, facilitating a more thorough testing process to ensure optimum code performance.

How does the documentation review feature of Kilo Code Reviewer work?

Kilo Code Reviewer features a documentation review option that can be controlled through the user-defined settings. The AI is able to scrutinize the code documentation for any potential issues, irregularities, or areas of improvement. This reinforces the overall comprehensibility, readability, and maintainability of the codebase.

What are some popular coding platforms that Kilo Code Reviewer is compatible with?

The Kilo Code Reviewer is compatible with several popular coding platforms like GitHub and GitLab. This ensures seamless integration and secure operations across multiple platforms, thereby providing developers with a flexible and adaptable environment for code reviews.

How easy is it to set up Kilo Code Reviewer for my project?

Setting up Kilo Code Reviewer is fairly straightforward. The setup process includes connecting the GitHub or GitLab, choosing the preferred AI model, specifying the review style and focus, and adding any custom instructions. The tool offers clear instructions each step of the way, making it easier to onboard for users unfamiliar with tools of this nature.

What are the different AI models I can choose from for analysis with Kilo Code Reviewer?

Kilo Code Reviewer offers a multitude of different AI models that users can select for code analysis based on their requirements and the nature of the code under review. The website mentions state-of-the-art models like Claude 4 Opus for deeper inspection, or more cost-effective alternatives like Gemini 2.5 Pro for routine reviews.

Can Kilo Code Reviewer's analysis be personalized for different review styles and focus areas?

Yes, the personalized review style and focus in Kilo Code Reviewer allows users to guide the AI's analysis towards specific considerations. This means the tool offers different settings to manage how rigorous the reviews should be (strict, balanced, or lenient) and what to concentrate on, such as security, performance, bugs, code style, test coverage, or documentation.

What security measures does Kilo Code Reviewer implement to protect my codebase?

Kilo Code Reviewer ensures the protection and security of your codebase by implementing read-only access. This means the tool can read and review your code without making any changes, guaranteeing the undiluted integrity of your original code. It is compatible with secure platforms like GitHub and GitLab, which have their own extensive security measures, thereby providing an extra layer of protection.

How does Kilo Code Reviewer's local code review feature work?

Kilo Code Reviewer has a local code review feature, which lets developers evaluate their code directly within their own Integrated Development Environment (IDE) before checking it in. This real-time, local feedback enables potential bugs, security vulnerabilities and code quality issues to be identified and resolved before they ever reach the repository.

Is Kilo Code Reviewer a free tool, and if not, what are the pricing options?

Based on the content from their website, Kilo Code Reviewer provides certain models for free. It is now free with GLM-4.7 and MiniMax M2.1 models, offering unlimited AI-powered code reviews at no cost. However, the website does not provide exhaustive details about other pricing options, if any.

Can Kilo Code Reviewer be used for team collaborations and codebase management?

Yes, Kilo Code Reviewer can be used for team collaboration and codebase management. The tool's adaptive framework facilitates team-wide consistency and understanding with integrated feedback and alert systems. It ensures consistent code practices across the team, comprehensively tracks revisions, and contributes to the overall project management.

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