Your Ultimate AI Assistant for Automating Code Review
CRken
About
CRken is an advanced AI powered tool for code analysis
It leverages cutting-edge large language models (LLMs), rigorous testing and a streamlined integration process to deliver top-tier performance and reliability
State-of-the-art technology
The API is built on top of the leading large language models available in the market, ensuring cutting-edge performance and accuracy for all your code analysis and automation needs.
Multiple
languages
Our solution supports widely used languages like JavaScript, Python, Go, PHP, Java, Kotlin, Swift, C#, C++ and many others, ensuring smooth integration with your development stack.
Process
Automation
CRken enhances development quality, accelerates reviews and provides developers with detailed feedback on merge requests in just minutes, boosting productivity and collaboration.
Increasing
performance
The solution reduces feature release times by up to 30% and enhances team productivity. Instant code reviews help developers avoid downtime and minimize task-switching for greater efficiency.
Save up to 50% on resources and ensure high-quality code reviews
How it Works
01
Webhook
In your GitLab project, Gitlab Webhook is configured to trigger code reviews automatically when a Merge Request is opened or updated
02
Merge Request
Each modified file within the Merge Request is reviewed by CRken, receiving its own detailed comments for precise feedback.
03
Comments
The results of the review are displayed directly in GitLab’s familiar Code Review interface, alongside comments from your team members.
Pricing
Available by subscription model at RapidAPI platform and On-Premises
Our users say
FAQ
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This is an AI-powered code review tool that automates the code review process, providing context-aware feedback on pull requests within minutes. It integrates with GitLab repositories and ensures continuous step-by-step reviews, significantly reducing the time and effort required for manual code review.
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CRken uses large language models (LLMs) to analyze your codebase, identify potential issues, and suggest improvements based on best practices and coding standards.
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Code analysis takes from a few seconds to a few minutes, depending on the size of the changes in the merge request.
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CRken uses advanced LLM models, trained on an extensive code dataset, to provide highly accurate and up-to-date feedback. However, it is designed to complement, not replace, human review.
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CRken is perfect for teams that process merge requests through a code review procedure. BeeCR strengthens development teams by leveraging the power of modern large language models. The developer remains responsible for all the code they create. Therefore, we particularly recommend it for those who already have a solid foundation in software development.
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CRken offers comprehensive support, including documentation, email responses, and real-time consultations through live chat support. Additionally, if needed, our technical team can handle the integration for you.
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We charge users based on the number of files included in a merge request, regardless of the number of users involved, file size or other parameters. Everything is simple and transparent — if a merge request includes changes to 10 files, you will be charged only for 10 files."