Best Code Review Tools for C++

Increase software development and delivery speed using generative AI assistance with enterprise security and privacy protected. Gemini Code Assist generates code blocks and functions as you type. Code assistance is available for many popular IDEs such as Visual Studio Code and JetBrains IDEs including IntelliJ, PyCharm and GoLand. It also supports 20+ programming language, including JavaScript, Python and C++. You can chat with Gemini Code Assistant using a natural language interface to receive answers to your coding queries or guidance on best coding practices. Chat is available on all supported IDEs. Gemini Code Assist allows enterprises to customize the software by using their own codebases and knowledge bases. Gemini Code Assist allows for large-scale changes in entire codebases.

Codeium is the modern code superpower. It's a free AI-powered code acceleration toolkit. Codeium currently provides AI-generated autocomplete in more than 20 programming languages (including Python and JS, Java, TS, Java and Go) and integrates directly to the developer's IDE (VSCode, JetBrains or Jupyter notebooks. Colab, Vim / Neoovim, etc. Codeium generates multiline code suggestions in a matter of seconds. This will eliminate the need to search for APIs and documentation, write boilerplate and unit test scripts, and many other tedious or frustrating tasks. Codeium is a training platform that allows you to quickly develop on billions of lines. It also helps you stay in the flow and lets you become the best coder you can be.

SonarSource creates world-class products to ensure Code Quality and Security. SonarQube, our open-source and commercial code analysis tool - SonarQube -- supports 27 programming languages. This allows dev teams of all sizes to resolve coding issues in their existing workflows.

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.

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/

DeepSource allows you to automatically identify and fix bugs in your code during code reviews. This includes security flaws, anti-patterns and bug risks. It takes less that 5 minutes to create your Bitbucket or GitLab account. It works with Python, Go, Ruby and JavaScript.

A quick overview of the code quality for the entire project, the most problematic files, and recent commits. CodeFactor will track all new and resolved issues for each pull request and commit. CodeFactor will show you the most important issues first, based on file size, file change frequency, and issue code size. This allows you to focus your efforts on fixing what is most important. Track and create issues or comments from code files or project issue pages. CodeFactor can also update the status of Bitbucket or GitHub pull requests. CodeFactor lets you toggle inspection for any repository branch at will. CodeFactor integrates to Slack to send code quality notification for every commit in any branch or pull request. Go to the repository settings page to install. Straightforward pricing based upon private repository number. No hidden fees. Integration into your workflow is seamless.

Metabob detects coding errors created by humans or AI, explains them, and fixes them. Metabob uses proprietary graph neural network to detect problems, and LLMs explain and resolve them. This combines the best of both worlds. GNN detects problematic code and classifies it with contextual understanding. Metabob's backend stores problematic code and context enriched with context. The backend stores the information and passes it to an integrated LLM. The LLM provides context-sensitive explanations and solutions to problems. Metabob's AI has been trained by millions of bug fixes made by experienced developers. Metabob's ability to understand context and code logic allows it to detect complex issues that span multiple codebases, and automatically generate solutions. Metabob's AI code reviews detect hundreds of logical issues, ranging from race conditions to unhandled edges cases. These problems are not detectable by static analysis tools.

Embold's intuitive visuals and deep analysis will help you gain a deeper understanding of the software. Visually understand the size and quality each component to fully understand the state and functionality of your software. Rich annotations make it easy to understand issues at the component level and locate them in your code. Navigate through all dependencies and see how they affect each other. Our innovative partitioning algorithms make it easy to quickly understand how to refactor or split complex components. The EMBOLD SCORE is a measure of the impact of four dimensions on how many components are most important to the overall quality and should be resolved first. Our unique anti-patterns allow you to analyze the structural design of your code at the class, functional, or method levels. Embold uses a variety of metrics to assess the quality and reliability of software systems, including cyclomatic complexity and coupling between objects.

Maintain high-quality code while adhering to agile development cycles. Jtest's extensive Java testing tools will ensure that you code flawlessly at every stage of Java software development. Streamline Compliance with Security Standards. Ensure that your Java code conforms to industry security standards. Automated generation of compliance verification documentation Get Quality Software Out Faster Java testing tools can be integrated to detect defects faster and more efficiently. Reduce time and costs by avoiding costly and complicated problems later. Increase your return on unit testing. Create a set of JUnit test suites that are easy to maintain and optimize for code coverage. Smart test execution allows you to get faster feedback from CI as well as within your IDE. Parasoft Jtest integrates seamlessly into your development ecosystem and CI/CD pipeline for real-time, intelligent feedback about your testing and compliance progress.