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Codegeex

Codegeex

Empower Your Code, Multilingual and AI-Driven.

Automate coding across 15+ languages with AI. Generate, translate, and complete code effortlessly.
#87 in "Entertainment
Price: Free + Paid

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Overview
Use cases
Features and Use Cases
Users & Stats
Pricing
FAQ
Pricing & discounts
UX/UI review
Video review
Reviews
Youtube reviews
Team
Founder interview
Funding
Overview
Use cases
Features and Use Cases
Users & Stats
Pricing
FAQ
Pricing & discounts
UX/UI review
Video review
Reviews
Youtube reviews
Team
Founder interview
Funding

Overview

Codegeex is a sophisticated programming support tool that enhances developers' productivity by automating aspects of the coding process. It's powered by a comprehensive model trained on a wide variety of programming languages, making it capable of generating and translating code efficiently. This tool is especially valuable for developers looking to streamline their workflow and enhance productivity across multiple programming languages, with the ability to generate code easily in the desired languages and translate code between different languages seamlessly.

Key characteristics of Codegeex include its large-scale multilingual code generation model, which encompasses 13 billion parameters and has been pre-trained on a vast code corpus covering more than 20 programming languages. It supports over 15 programming languages for both code generation and translation, addressing a wide range of development needs from generating code snippets to translating code across different languages.

Codegeex is designed to cater to a broad spectrum of developers, from those working on front-end tasks to Python developers and beyond. Its capabilities extend to generating code based on natural language descriptions, offering suggestions for code completion, and even adding comments to code automatically. This tool is also praised for its open nature, providing public access to its underlying principles through papers and open APIs for customization. Compatibility with mainstream Integrated Development Environments (IDEs) like VS Code, IntelliJ IDEA, PyCharm, and WebStorm is another highlight, ensuring flexibility for developers using different tools. Moreover, it's available for free for individual use, with enterprise solutions available for larger scale deployments.

Use cases

Codegeex offers a variety of practical applications aimed at enhancing the development process across different scenarios. These use cases showcase the tool's versatility and capability in addressing common challenges in software development:

  1. Rapid Prototyping: Codegeex is particularly useful for startups and developers who need to quickly turn their ideas into working prototypes. By automatically generating the foundational code structure and essential functionalities, Codegeex significantly speeds up the prototyping phase, allowing for faster iteration and testing of new concepts.

  2. Generating Code in Multiple Languages: It supports generating code across more than 15 programming languages, making it an excellent tool for projects requiring multilingual code outputs. This feature is beneficial for teams working on international software projects or those needing to maintain compatibility across different technology stacks.

  3. Code Translation: For developers needing to convert code from one programming language to another, Codegeex's code translation capabilities simplify this process. This is particularly useful in scenarios where legacy code in one language needs to be updated or integrated with newer systems written in another language.

  4. Streamlining Workflow: By automating code generation, Codegeex helps developers streamline their workflow, thereby increasing productivity. This automation is beneficial in reducing manual coding efforts and focusing on more complex aspects of development, leading to quicker project completions and more efficient use of developer resources.

  5. Developing Complex Algorithms and Refactoring: Codegeex aids in creating complex algorithms by providing code suggestions, which can be particularly helpful for developers focusing on the design rather than the implementation details. Additionally, it can assist in refactoring legacy code, making the update process more manageable and less time-consuming.

  6. Documentation Generation: Another significant use case is generating documentation for code, which is often a time-consuming task. Codegeex's capability to automatically generate documentation ensures that all code is adequately documented, facilitating easier maintenance and understanding of the codebase.

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FAQ

Codegeex is an advanced code generation model designed to assist developers by automating code generation, completion, and translation across multiple programming languages. It's tailored to enhance productivity for both individual developers and enterprise teams by simplifying the coding process and providing valuable assistance with its range of features, including an AI-based chatbot​​​​​​.

Yes, for individual users, Codegeex offers a completely free plugin that includes features like code generation and completion, comment generation, code translation, and an AI-based chatbot. There is also an Enterprise Plan for organizations, which comes with custom pricing​​.

Codegeex supports over 15 programming languages, including Python, Java, C++, JavaScript, Go, and more. It's designed to cater to a wide range of development needs, making it a versatile tool for developers working across different technology stacks​​​​.

Yes, Codegeex offers extensions or plugins for popular Integrated Development Environments (IDEs) such as VS Code, IntelliJ IDEA, PyCharm, WebStorm, and more. This allows developers to seamlessly use Codegeex's features directly within their preferred coding environment​​​​.

Codegeex improves developer productivity by automating the generation of code based on natural language descriptions, offering suggestions for code completion, automatically generating comments for code documentation, and translating code between different programming languages. This reduces the time and effort required for coding tasks and helps developers focus on more complex aspects of their projects​​​​.

Yes, Codegeex is open-source, meaning its code and model weights are publicly available for research purposes. This openness allows developers and researchers to explore, customize, and further develop the tool according to their specific needs​​.

Codegeex can automatically translate code snippets between supported programming languages, facilitating developers who work on multilingual projects or need to convert legacy code into a different language. It aims to deliver high-accuracy translations, enhancing cross-language compatibility and easing the migration of codebases.

For individual users, the Codegeex community and online documentation are good starting points for support. Enterprise users with access to the Enterprise Plan receive dedicated enterprise-level support, ensuring organizations have the necessary assistance for integrating and using Codegeex effectively in their projects​​.

Pricing & discounts

Codegeex offers different subscription plans tailored to both individual developers and enterprise users. Here's a breakdown of their pricing and what each plan includes:

  1. Free Plan for Individual Users:

    • This plan is aimed at individual programmers and offers access to a range of features without any financial commitment. Users can benefit from code generation and completion, comment generation, code translation, and an AI-based chatbot under this plan. It's designed to enhance productivity and simplify the coding process for developers working on various projects.
    • The Free Plan makes Codegeex accessible to a broad audience, including developers working independently or those who are exploring the tool's capabilities before considering an enterprise solution.
  2. Enterprise Plan:

    • The Enterprise Plan is tailored for organizations and includes all the core features available in the Free Plan, with additional capabilities that cater to the needs of larger teams and projects.
    • Key aspects of the Enterprise Plan include the option for model fine-tuning on an enterprise codebase, allowing organizations to customize the tool according to their specific requirements. This plan also supports both on-premises and cloud-based private deployments, offering flexibility depending on an organization's infrastructure and security needs.
    • Enterprise-level support is another significant component of this plan, ensuring that organizations receive the necessary assistance and guidance when using Codegeex.
    • The pricing for the Enterprise Plan is custom, requiring interested parties to contact Codegeex directly for further details. This approach allows for tailoring the plan's cost according to the specific needs and scale of the organization.

While detailed pricing for the Enterprise Plan is not publicly listed and requires direct inquiry with Codegeex, the approach ensures that businesses can negotiate terms that align with their usage expectations and budget constraints.

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Team

The Codegeex team is comprised of experts from Tsinghua University's Knowledge Engineering Group (KEG) and other contributors from prestigious institutions and organizations. The lead contributors to the Codegeex project are Qinkai Zheng, Xiao Xia, and Xu Zou from Tsinghua KEG. The project also benefits from the contributions of Aohan Zeng, Wendi Zheng, and Lilong Xue from Tsinghua KEG, as well as Yifeng Liu, Yanru Chen, and Yichen Xu from Zhilin Yang's Group at Tsinghua IIIS. Additionally, Qingyu Chen, Zhongqi Li, and Gaojun Fan from Peng Cheng Laboratory, along with Yufei Xue, Shan Wang, Jiecai Shan, Haohan Jiang, Lu Liu, Xuan Xue, and Peng Zhang from Zhipu.AI have contributed to the development of Codegeex.

The project's advisors include Zhilin Yang (Tsinghua IIIS), Yuxiao Dong (Tsinghua KEG), Wenguang Chen (Tsinghua PACMAN), and Jie Tang (Tsinghua KEG), showcasing a strong backing by academic and professional experts in the field. Codegeex has been supported by the National Science Foundation for Distinguished Young Scholars, and computational resources were sponsored by Peng Cheng Laboratory and Zhipu.AI, an AI startup.

This collaborative effort reflects a multidisciplinary approach, combining expertise in artificial intelligence, computer science, and engineering to develop the Codegeex model. The team's dedication to open-source principles and commitment to advancing code generation technology is evident in their work, making Codegeex a significant contribution to the AI and software development communities.

person

Qinkai Zheng

Co-Founder


Xu Zou

Co-Founder


Xiao Xia

Co-Founder

Nazarii Bezkorovainyi

Published by: Nazarii Bezkorovainyi

08 January 2024, 12:00AM

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