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CodeReviewBot

AI Code Review Bot | CodeReviewBot

Monthly visits
1.3K
Pricing
Freemium
Free / Hobby, Team (Pro), Enterprise
Added
Apr 03 2024

About CodeReviewBot

CodeReviewBot is an AI-powered code review service that helps developers improve code quality and productivity by reviewing pull requests and providing detailed feedback and improvement suggestions. The service integrates with GitHub pull requests and aims to streamline the review process so developers can focus on writing high-quality code. It offers automated analysis of code, highlighting potential issues, bugs, and security or performance concerns. The system emphasizes feedback and suggestions for how to fix issues, supporting consistent reviews across PRs.

CodeReviewBot uses AI to examine code changes and generate suggestions intended to improve efficiency and reduce bugs. The tool is designed to fit into existing workflows, integrating with GitHub so teams can incorporate automatic reviews into their standard pull request process. It provides a straightforward interface intended for quick setup and use by developers.

The main goal of CodeReviewBot is to aid developers by providing detailed feedback for every pull request and by applying AI-driven review logic to keep reviews thorough and uniform. It supports automated code review practices and emphasizes clarity in its suggestions, aiming to help teams maintain coding standards as changes are proposed.

CodeReviewBot offers different deployment options and plans, including a free tier for OSS and personal projects and paid plans for teams, with options for enterprise deployment. It describes self-hosted or cloud deployments in enterprise plans and mentions SOC2 compliance and custom model options, aligning with needs of various organizations. It also notes cookie usage and privacy disclosures as part of its site footprint.

Use cases

  • Improve code quality and productivity by automatically reviewing pull requests.

Key features

  • CodeReviewBot integrates with GitHub to fit into existing workflows.
  • AI algorithms provide suggestions for improving code efficiency and reducing errors.
  • It automatically reviews code and identifies potential issues.
  • Detailed feedback is provided for every pull request with actionable fixes.
  • Reviews are consistent across PRs.

Pros and cons

Pros

Integrates with GitHub to fit into existing workflows.
Provides AI-driven suggestions to improve code quality.
Offers detailed, actionable feedback for each PR.

Cons

Free plan limits may apply to private repos (up to 10 reviews/mo).
Enterprise options require contact for tailored deployment and SLAs.

Pricing

Free / Hobby
Starting at $0 /month
  • 100% Free for public OSS repos
  • Up to 10 reviews/mo for private personal repos
  • Standard AI review logic
  • Email support
Team (Pro)
Starting at $25 /month
  • Full automation for teams & private repos
  • Unlimited reviews on private repositories
  • Custom style guides & rule definitions
  • State-of-the-art context-aware models
  • Priority email support
  • Free 30-day trial (no credit card required)
Enterprise
Need more?
monthly
  • Self-hosted / VPC cloud deployment (AWS/GCP)
  • SOC2 compliance support
  • Custom fine-tuned models on your codebase
  • Dedicated hardware & offline runs
  • Enterprise 24/7 priority support SLA

Reviews

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Frequently asked questions

What model does CodeReviewBot use?
In order to perform code review, CodeReviewBot utilizes several well known LLM models including OpenAI's GPT-4, GPT-4o and Google's Gemini.
Can I try CodeReviewBot for free?
Yes, you can try CodeReviewBot free for 30 days or 40 reviews. After that, you can choose a plan that best fits your needs. Also, you can try our technology using the interactive AI code review tool .
Do you use my code for training?
We never use private code to train models. We may use user feedback signals like reaction on the bot review messages or review thread messages to improve models.
How do you address IP rights of the code?
The default behavior of the CodeReviewBot is to avoid offering code snippets. Instead, it will describe the proposed change and leave the implementation to the developer. If you want to receive suggestions in the form of code snippets, this can be enabled in repository options using the dashboard .

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