Best AI Code Review Tools for Objective-C

Find and compare the best AI Code Review tools for Objective-C in 2025

Use the comparison tool below to compare the top AI Code Review tools for Objective-C on the market. You can filter results by user reviews, pricing, features, platform, region, support options, integrations, and more.

  • 1
    Cody Reviews

    Cody

    Sourcegraph

    $0
    87 Ratings
    See Tool
    Learn More
    Cody is an advanced AI coding assistant developed by Sourcegraph to enhance the efficiency and quality of software development. It integrates seamlessly with popular Integrated Development Environments (IDEs) such as VS Code, Visual Studio, Eclipse, and various JetBrains IDEs, providing features like AI-driven chat, code autocompletion, and inline editing without altering existing workflows. Designed to support both individual developers and teams, Cody emphasizes consistency and quality across entire codebases by utilizing comprehensive context and shared prompts. It also extends its contextual understanding beyond code by integrating with tools like Notion, Linear, and Prometheus, thereby gathering a holistic view of the development environment. By leveraging the latest Large Language Models (LLMs), including Claude 3.5 Sonnet and GPT-4o, Cody offers tailored assistance that can be optimized for specific use cases, balancing speed and performance. Developers have reported significant productivity gains, with some noting time savings of approximately 5-6 hours per week and a doubling of coding speed when using Cody.
  • 2
    SonarQube Server Reviews
    SonarQube Server is a robust, self-hosted solution that allows development teams to continuously monitor and enhance code quality and security. It offers automated static analysis for a wide array of programming languages, helping teams detect bugs, vulnerabilities, and inefficiencies early in the development process. With SonarQube Server, users can seamlessly integrate code quality checks into their CI/CD workflows, whether on-premises or in the cloud. The platform provides detailed, actionable reports that help teams reduce technical debt, improve maintainability, and uphold coding standards across projects. Ideal for organizations looking for complete control over their code quality processes, SonarQube Server supports scalability and customization to meet enterprise needs.
  • 3
    CodeScene Reviews

    CodeScene

    CodeScene

    €18 per active author/month
    CodeScene's powerful features go beyond traditional code analysis. Visualize and evaluate all the factors that influence software delivery and quality, not just the code itself. Make informed, data-driven decisions based on CodeScene’s actionable insights and recommendations. CodeScene guides developers and technical leaders to: - Get a holistic overview and evolution of your software system in one single dashboard. - Identify, prioritize, and tackle technical debt based on return on investment. - Maintain a healthy codebase with powerful CodeHealth™ Metrics, spend less time on rework and more time on innovation. - Seamlessly integrate with Pull Requests and editors, get actionable code reviews and refactoring recommendations. - Set Improvement goals and quality gates for teams to work towards while monitoring the progress. - Support retrospectives by identifying areas for improvement. - Benchmark performance against personalized trends. - Understand the social side of the code, measure socio-technical factors like key personnel dependencies, knowledge sharing and inter-team coordination.
  • 4
    Codacy Reviews

    Codacy

    Codacy

    $15.00/month/user
    Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/
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