Code Autocompletion
TabNine offers sophisticated AI-powered code autocompletion, which can significantly speed up coding by predicting and suggesting the next bits of code based on the context.
Multi-Language Support
TabNine supports a variety of programming languages, making it a versatile tool for developers who work with multiple languages.
Good IDE Integration
It integrates well with popular Integrated Development Environments (IDEs) such as VSCode, IntelliJ, and Sublime Text, providing a seamless development experience.
Context-Aware Suggestions
TabNine uses machine learning to offer context-aware code suggestions, potentially reducing the likelihood of syntax errors and improving code quality.
Productivity Boost
By reducing the need to type out long code snippets and boilerplate code, TabNine can significantly increase developer productivity.
Customizability
Users can adjust the settings and preferences in TabNine to better fit their coding style and needs, offering a tailored coding assistance experience.
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This is the repository for the backend of TabNine, the all-language autocompleter There are no source files here because the backend is closed source. - Source: dev.to / 11 months ago
As applications grow in value to the end user so do they grow in complexity. Developers are pressured to increase productivity. Startups like Tabnine and Raycast have had impressive funding rounds recently, indicating how important developer productivity has become. With this pressure to perform, developers don't have the time to test each API connection for vulnerabilities or perform periodical penetration... - Source: dev.to / over 3 years ago
We also use rust to build Tabnine! (see https://tabnine.com). Source: about 4 years ago
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