
What is DeepCode?
DeepCode is a Zurich-based team developing aAI Programming Aidscarry outCode reviewand quality assurance. It uses machine learning models to analyze code and is able to detect vulnerabilities and bugs and provide suggestions for improvement.
Founded by a team with extensive experience in machine learning and artificial intelligence research, DeepCode aims to understand the intent of the code through its unique platform, providing developers with unique suggestions for each line of code to improve programs and ensure compatibility. Currently, DeepCode supports a wide range of programming languages and is widely used around the world.
DeepCode Main Features
- AI Quality Check: Perform comprehensive quality checks on code, including security, performance, logic, and compliance.
- Code review: Includes commit analysis and pull request analysis to document any issues in the code.
- semantic analysis: Make changes before and after problems and understand context to provide more accurate code review results.
- Multi-language support: Support for Java, JavaScript, Python, TypeScript and many other programming languages, with plans to expand more.
DeepCode Usage Scenarios
- Daily Development: Use DeepCode for code review during development to identify and fix potential problems in a timely manner.
- code refactoring: Use DeepCode's recommendations to optimize code structure and improve code quality when refactoring code.
- Security check: Use DeepCode to perform security checks before the code goes live to make sure there are no security holes in the code.
DeepCode Charging Policy
- Public Cloud Usage: For individual users and small teams, DeepCode's public cloud usage is free.
- Private cloud usageDeepCode offers a free trial for teams requiring private cloud deployment, with a fee policy based on team size and needs. Contact DeepCode for specific fees.
DeepCode Operating Instructions
- Integration and Deployment: DeepCode can integrate with code hosting platforms such as GitHub, Bitbucket, and supports local deployment to monitor Bitbucket servers or GitLab.
- Usage: Developers can start using DeepCode's code review service by logging into the company's website via GitHub or Bitbucket. After installing the DeepCode plugin in your IDE, you can access code review results and suggestions in real time.
Feedback on DeepCode
Users generally agree that DeepCode's code review is powerful and accurate, and can significantly improve code quality and security. Meanwhile, DeepCode's multi-language support and integration with mainstream code hosting platforms are also well received by users. However, some users also reflect that in some complex scenarios, DeepCode's suggestions may not be accurate or practical enough, and need to be further optimized and improved.
data statistics
Relevant Navigation

An innovative tool that utilizes AI technology to enable zero-code programming, designed to help non-technical users easily create websites, apps, and games.

CodeFuse
Ant Group's self-developed intelligent programming assistant provides code completion, optimization, test case generation and other functions based on a large model, aiming to improve developers' coding efficiency and code quality.

Shangtang Ri Ri Xin
The big model system launched by Shangtang Technology, which integrates natural language processing, text-to-graph and other capabilities, aims to empower various industries through advanced AI technology and lead innovation and change in the wisdom era.

Traycer
AI programming assistant, through intelligent task disassembly, multi-agent parallel collaboration and real-time code analysis, helps developers efficiently plan, execute and optimize complex projects, significantly improving coding efficiency and team collaboration.

Bolt.new
A browser-based AI full-stack web development platform that integrates cutting-edge AI models with WebContainers technology to provide a configuration-free development environment that supports natural language programming and one-click deployment.

Superflex
An AI tool designed by front-end developers to automatically generate high-quality front-end code based on Figma designs, images or text descriptions, significantly improving development efficiency and code consistency.

MGX
Multi-intelligent body collaborative software development platform, through the natural language drive to realize the whole process of software development automation, reduce the threshold of development, improve the development efficiency.

Devin Review
An AI-based GitHub code review tool that significantly improves development team collaboration efficiency and reduces code risk through intelligent diff organization, automated issue detection, and deep GitHub integration.
No comments...
