Artificial intelligence code completion tool provider Tabnine Ltd. today introduced a brand new more intuitive way for developers to finish AI-assisted coding tasks directly within the editor with inline actions that work directly on chosen snippets of code.
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The corporate’s flagship product is an AI-powered code completion tool for skilled software developers in an integrated development environment, which helps save them time and energy by providing code suggestions as they type. The brand new tool will even join Tabnine Chat, which allows users to “talk” to their code using generative AI.
“Inline actions brings together the very best of chat and code completions right into a single interface,” the corporate said within the announcement. “By delivering AI-generated code or edits throughout the same environment where you’re working, inline actions are a faster and easier method to create, refine, document and fix code quickly.”
Developers need only select the code that should be worked with, pick a predefined motion or ask Tabnine to finish the duty. The outcomes are accomplished inline – meaning that they occur throughout the code itself – with visual highlights of what has modified.
Developers can then accept, modify or reject the changes right from throughout the modified code snippet. The corporate said this enables developers to remain within the flow of coding using the editor with no need to make manual edits, which ends up in a smoother experience.
“By delivering AI-generated code or edits throughout the same environment where you’re working, inline actions are a faster and easier method to create, refine, document, and fix code quickly,” Tabnine said.
Inline actions are currently supported by Visual Studio Code and the JetBrains family of code editors, with support for other development environments coming soon.
Users of the brand new capability can flexibly choose from the corporate’s various switchable large language models. This permits customers to make a choice from different LLMs depending on their particular use case in enterprise environments, resembling Tabnine’s custom-developed models, or from popular models from third parties resembling Cohere Inc.’s Command R+, Anthropic PBC’s Claude 3.5 Sonnet, OpenAI’s GPT-4o and Mistral AI’s Codestral.
Image: Tabnine
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