Business Software for JetBrains Gateway

Code With Me is an innovative service designed for collaborative coding and pair programming. It allows you to seamlessly invite others into your Integrated Development Environment (IDE) project, enabling real-time collaboration. You and your teammates can address issues, review code, and work on coding tasks together instantly, making it easier to develop, debug, and resolve problems as a cohesive unit within a single remote collaborative IDE. By inviting others to your project, you can effectively demonstrate and clarify your code, making it an excellent resource for educational settings and online coding interviews. Simply click the link provided by the host to get started—no need to download repositories or pull changes from different branches. You'll no longer waste time setting up environments, tackling compile-time errors, or dealing with dependency issues just to access a project. Moreover, as a guest, you won’t even need to have a JetBrains IDE installed, eliminating barriers to entry for collaboration. This streamlined approach enhances productivity and fosters a more efficient coding experience for everyone involved.

Access JetBrains IDEs and Swing applications over a network, leveraging Swing, a graphical widget toolkit for Java, which is utilized by current JetBrains IDEs and other IntelliJ-based applications, including Android Studio. Projector is an innovative self-hosted solution that enables the operation of IntelliJ-based IDEs and Swing applications on a server, granting users the ability to connect from any location through web browsers or dedicated applications. For instance, one can run the IntelliJ IDEA Community Edition in the Safari browser on macOS, facilitating code execution closer to the runtime or database to minimize latency. This setup is particularly beneficial in high-security zones and corporate environments, where thin clients and low-cost hardware, such as Android tablets, can be employed. Users have the convenience of switching off their local machines while their applications remain operational on the server. Moreover, it allows for running the IDE in a GNU/Linux environment on Windows systems or even on more unconventional operating systems like ChromeOS. By utilizing VM or Docker images preloaded with debug sources and a configured IDE, developers can enjoy seamless remote debugging from the server side, whether for development testing or production scenarios. This flexibility enhances productivity and streamlines workflows, making it an invaluable tool for modern software development.

Developed entirely from the ground up, JetBrains Fleet draws on two decades of experience in creating integrated development environments (IDEs). It utilizes the robust IntelliJ code-processing engine, featuring a distributed architecture and a fresh user interface designed for modern developers. Our aim with Fleet was to create a swift and efficient text editor that allows for quick code browsing and editing. It launches almost instantaneously, enabling you to start your work without delay, and has the capability to seamlessly evolve into a full-fledged IDE, with the IntelliJ engine operating independently from the editing interface. Fleet encompasses all the beloved features of IntelliJ-based IDEs, such as code completion tailored to your project context, easy navigation to definitions and usages, real-time code quality assessments, and convenient quick-fixes. The architecture of Fleet is thoughtfully designed to accommodate various configurations and workflows, allowing it to run locally on your machine or to offload some processes to the cloud, showcasing its versatility and adaptability for different development needs. This flexibility ensures that developers can choose the setup that best fits their workflow requirements.

Easily switch between command and editor modes using just one keystroke while navigating through cells with arrow keys. Take advantage of all standard Jupyter shortcuts for a smoother experience. Experience fully interactive outputs positioned directly beneath the cell for enhanced visibility. When working within code cells, benefit from intelligent code suggestions, real-time error detection, quick-fix options, streamlined navigation, and many additional features. You can operate with local Jupyter notebooks or effortlessly connect to remote Jupyter, JupyterHub, or JupyterLab servers directly within the IDE. Execute Python scripts or any expressions interactively in a Python Console, observing outputs and variable states as they happen. Split your Python scripts into code cells using the #%% separator, allowing you to execute them one at a time like in a Jupyter notebook. Additionally, explore DataFrames and visual representations in situ through interactive controls, all while enjoying support for a wide range of popular Python scientific libraries, including Plotly, Bokeh, Altair, ipywidgets, and many others, for a comprehensive data analysis experience. This integration allows for a more efficient workflow and enhances productivity while coding.

Rapidly create and deploy applications at scale using AWS. Amazon CodeCatalyst serves as a comprehensive software development platform that enables development teams to swiftly construct, deliver, and scale applications on AWS, all while aligning with specific organizational best practices. By utilizing generative AI capabilities, developers can streamline their workflow and focus more on innovation rather than spending excessive time on setting up project tools, managing CI/CD pipelines, provisioning, and configuring development environments, or collaborating with team members. Additionally, IT leaders can standardize organizational best practices through application blueprints, ensuring compliance across different teams as they scale. This integrated approach not only enhances productivity but also fosters a culture of efficiency and collaboration within development teams.

Engage in discussions about your codebase while allowing your AI coding assistant to make updates across numerous files directly within your preferred IDE! With the capability to automatically include all files currently opened in your editor, you can leverage up to 128,000 tokens within the AI's context memory. The AI will handle the coding tasks, and you can either approve the multi-file patch, select parts of it, or request adjustments as needed. Codebuddy is designed to scan your entire repository and create a vector database, enabling it to choose appropriate files for you or provide insights about your codebase, especially if you're not entirely familiar with it. This AI coding assistant possesses an in-depth understanding of your repository, allowing you to create new files or modify several existing ones with a single command. Codebuddy will automatically insert code in a format that resembles a unified patch (diff), enhancing your coding experience with unparalleled multi-file support. By incorporating these features, you can significantly streamline your coding process and improve overall productivity.

Lingma serves as Alibaba Cloud's AI-driven coding assistant, aimed at enhancing the efficiency of software development processes. Featuring capabilities such as line and function-level real-time code completion, natural language-based code generation, and smart troubleshooting, it allows developers to articulate their requirements in simple language, resulting in automatically generated code within the editor. Supporting an extensive array of over 200 programming languages, Lingma also offers in-depth code explanations accompanied by visual flow charts. Furthermore, it can assess codebases to produce unit tests, automatically compile and execute code, and rectify issues to boost test coverage. Users can even upload images for contextual analysis, which aids in generating code or delivering bug fixes based on specified requirements. For corporate users, Lingma seamlessly integrates with private data sources, such as documents and repositories, to refine its model outputs and ensure they adhere to company standards, thereby maximizing its utility in professional environments. Additionally, this integration fosters a collaborative atmosphere for development teams, promoting a more streamlined workflow across projects.

Oversee user management within Upsource, YouTrack, and TeamCity through a centralized interface that provides a comprehensive snapshot of pertinent commits, issues, and tests. Offer administrative assistance for group settings and permissions while regulating licenses shared between Upsource and YouTrack. Enjoy seamless one-click access to YouTrack issues from discussions, code assessments, and commit logs. Generate issues directly from a code review in Upsource, and easily access comments on revisions or reviews that reference the corresponding issue. Track commits that cite a specific issue and utilize YouTrack commands from commit comments for enhanced functionality. The Hub facilitates sophisticated integration among JetBrains collaboration tools, ensuring that when you connect Upsource and YouTrack through Hub, new issues can be created right from your code reviews. This integrated system guarantees that users can log in once across all JetBrains tools and remain authenticated, improving team efficiency and collaboration. The centralization of these processes enhances workflow and minimizes the complexities of managing multiple tools effectively.

Mistral Code is a cutting-edge AI coding assistant tailored for enterprise software engineering teams that need frontier-grade AI capabilities combined with security, compliance, and full IT control. Building on the proven open-source Continue project, Mistral Code delivers a vertically integrated solution that includes state-of-the-art models like Codestral, Codestral Embed, Devstral, and Mistral Medium for comprehensive coding assistance—from autocomplete to agentic coding and chat support. It supports local, cloud, and serverless deployments, allowing enterprises to choose how and where to run AI-powered coding workflows while ensuring all code and data remain within corporate boundaries. Addressing key enterprise pain points, Mistral Code offers deep customization, broad task automation beyond simple suggestions, and unified SLAs across models, plugins, and infrastructure. The platform is capable of reasoning over code files, Git diffs, terminal output, and issues, enabling engineers to complete fully scoped development tasks with configurable approval workflows to keep senior engineers in control. Enterprises such as Spain’s Abanca, France’s SNCF, and global integrator Capgemini rely on Mistral Code to boost developer productivity while maintaining compliance in regulated industries. The system includes a rich admin console with granular platform controls, seat management, and detailed usage analytics for IT managers. Mistral Code is currently in private beta for JetBrains IDEs and VSCode, with general availability expected soon.