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Automated unit test generation for GitHub repositories.

AI tools for game development inside and around the Unity Editor

An interactive browser notebook for mixing executable code, narrative, and rich results in one computational document.

Work with notebooks, code files, consoles, and terminals in a browser-based interactive development environment.

Edit source files and send build or run output to an integrated pane on Windows or Linux.

Write visual sketches in a desktop editor and run them in a graphics window with Processing.

A modal, configurable text editor for programming and general text work.

A persistent cloud VS Code workspace with a Linux container, terminal, debugger, and ready-made project templates.

A macOS programming editor that runs and debugs code in many languages from one desktop app.

Edit source and configuration files directly in a terminal with a compact, keyboard-driven editor.

A hosted notebook editor for Python and data work, with SQL cells, collaboration, and interactive reports.

A graphical environment for building measurement, instrument-control, and test applications with the G language.

A desktop PHP scratchpad for evaluating snippets in a Laravel sandbox or within local and SSH-connected projects.

Edit code on macOS with project search, multiple carets, bundles, and version-control actions.

A cross-platform TeX editor that keeps source editing and PDF preview in one typesetting workspace.

A source editor for LilyPond scores with music view, MIDI playback and score-building tools.

A visual Flutter app builder with an in-app code editor for adding custom Dart behavior.

A Jira-connected time tracker with approvals, billable hours, and project reporting.

A Windows editor for source and text files with configurable syntax highlighting and Perl- or JavaScript-style regular expressions.

A collaborative computing workspace where projects bring notebooks, files, terminals, and software into a shared environment.

Configure hosted CI/CD builds with build steps, triggers, and Kotlin DSL settings-as-code.

Write JVM tests with JUnit Jupiter and run them through the JUnit Platform from an IDE, build tool, or console.

Edit source files with a lightweight cross-platform editor and optional Python add-ons.

Use a Vim-based editor with Lua configuration, a documented API, and remote-procedure-call support for extensions.