
Fitten Code is a real-time AI code assistant developed by Beijing Non-Ten Technology Co. It is based on the self-developed code big model - domestic deep learning framework Jittor (Jittor) to build, with powerful code generation and assistance functions.
Product Features
- Intelligent Code Completion::
- Fitten Code is able to automatically generate code with millisecond response times, reducing the average response time latency to around 300 milliseconds and as low as 100 milliseconds, which is significantly lower compared to other AI code assistants, such as Copilot.
- It can not only quickly fill in the code, but also in the conditions allow a one-time fill in a large number of code, an average of 3-5 lines, dramatically improving the programming efficiency.
- high accuracy::
- In Human-Eval testing, Fitten Code's code generation accuracy outperformed other products, generating more accurate code with fewer bugs.
- When dealing with complex algorithmic problems, Fitten Code is able to generate better algorithmic implementations, such as the optimal algorithm with O(n log(n)) time complexity that was successfully implemented in the longest ascending subsequence task.
- Rich functionality::
- In addition to smart code completion, Fitten Code also supports smart code Q&A, automatic addition of comments, automatic addition of tests, smart code error checking and smart code interpretation.
- It can automatically generate relevant comments based on the code to improve the readability and maintainability of the code.
- The ability to automatically generate unit tests helps developers improve code quality and reliability.
- Multi-language support::
- Fitten Code supports more than 80 programming languages, including Python, JavaScript, Typescript, Java, C, C++, etc. to meet the needs of different developers.
- Extensive IDE support::
- It supports Visual Studio Code, IntelliJ IDEA, PyCharm and other JetBrains series IDE, as well as Visual Studio, Vim and other editors, covering most of the developer's use of the scene.
application scenario
- Project Initialization::
- At the beginning of a project, Fitten Code can generate a project skeleton with one click according to the project requirements, helping developers to quickly set up the development environment.
- Function Development::
- During feature development, Fitten Code automatically generates code based on feature descriptions provided by the developer, enhancing development efficiency.
- code optimization::
- Fitten Code helps developers to optimize the code structure and improve the code quality during the project development progress.
- Bug Debugging::
- During the testing phase of a project, Fitten Code can automatically detect errors in the code and provide modification suggestions to help developers quickly locate and fix bugs.
Team Background
Fitten Code's core development team all graduated from Tsinghua University with PhDs. They have led the open source of Jittor deep learning framework, which is one of the mainstream deep learning frameworks in China, and participated in the open source of JNeRF neuro-rendering library and JittorLLMs large model inference library, which have gained a lot of favorable comments from the industry. The team members have outstanding technical skills, and have won gold medals in international supercomputing competitions, gold medals in Informatics Olympiad, gold medals in ACM, etc. They have also published many articles in top international conferences and journals in computer graphics, computer vision, artificial intelligence, and so on.
summarize
Fitten Code, a free real-time AI code assistant, has won the favor of developers with its high accuracy, low latency, rich features and extensive support. It not only helps developers improve programming efficiency, but also optimizes code quality, making it a powerful assistant in the programming process. In the future, with the continuous progress of technology, Fitten Code will continue to iterate and update to bring developers a more intelligent and efficient programming experience.
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