アプリケーション

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    リリースノート: Key Updates CMake update- With this release, you now get enhanced writing assistance for CMake targets for even easier script editing. CLion now suggests live templates to create new targets, as well as code completion, navigation, and Find Usages for ... 続きを読む

  2. リリースノート: Text field search doesn't work. All users are added to helpdesk project team as agents. Issue list: Comments button does not show comments and does not hide add comment buttons. Action rules with userInput do not work for draft issues. Inline image ... 続きを読む

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    リリースノート: Frontend Project: Color Guess Game (Beta)- The game is implemented using HTML for the structure and JavaScript for the functionality, including generating random colors, managing user interactions, and controlling game flow. All the player has to do is ... 続きを読む

  4. リリースノート: Key Highlights Full line code completion- This release comes with full line code completion for Java and Kotlin. This feature is powered by an advanced deep learning model seamlessly integrated into the IDE. It enhances coding efficiency by predicting and ... 続きを読む

  5. リリースノート: Full line code completion with local AI You can now utilize per-line autocompletion for PHP code, as well as JavaScript, TypeScript, and HTML, even when you don't have access to the internet. With full line code completion, the local LLM processes ... 続きを読む

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    リリースノート: Key Highlights Sticky lines- This release includes sticky lines to help you navigate large files without losing context. This feature pins key structural elements like function or class declarations to the top of your editor as you scroll. You can ... 続きを読む

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    リリースノート: Full line code completion RubyMine now comes with full line code completion for Ruby. This feature is powered by an advanced deep learning model seamlessly integrated into the IDE. It enhances coding efficiency by predicting and suggesting entire lines of ... 続きを読む

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    リリースノート: Full line code completion This release introduces full line code completion, a new feature that autocompletes entire lines of code using locally-run, context-aware deep learning models. It helps improve coding speed and efficiency while working locally on ... 続きを読む

  9. リリースノート: Hugging Face: Quick documentation preview for models and datasets You can now get all the information about any Hugging Face models or datasets you're working with right inside PyCharm. Hover over a dataset or model name to view its description in a ... 続きを読む

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    リリースノート: AI Assistant: option to attach schemas AI Assistant now allows you to improve the quality of generated SQL queries by attaching a database schema for context in the chat. For now, only table and column names are attached and there is a maximum limit of 50 ... 続きを読む