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ST's C/C++ development environment for building and debugging STM32 firmware on desktop or VS Code workflows.

A digital Obeya platform for visual management rooms, Lean and Agile rituals, and organizational alignment.

AI coding agent for writing, testing, and shipping code in your IDE.

Send files using a short word-based code

Edit code on iPhone or iPad with broad syntax highlighting, remote file access, and an SSH terminal.

Edit plain-text and source files on macOS with syntax highlighting, encoding tools, scripting, and regex search.

AI-powered eQMS for life sciences quality management

Visual Studio Code’s symbols as an icon font and SVG sprite.

A browser IDE for running short code samples or building supported multi-file projects across many languages.

A terminal code editor built around selecting text first and applying editing commands to it.

Preview and deploy infrastructure changes through the same CI workflow as application code.

A cross-platform IDE for C, C++, Rust, PHP, and Node.js projects with filesystem workspaces and integrated debugging.

Use an open-source IDE in a browser or on desktop, with an extension model based on Open VSX.

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

Build domain-specific languages with a projectional editor, language tools, and code generators.

A Microchip-focused IDE for organizing firmware projects, building target code and debugging microcontrollers.

AI-native platform for quoting, submittals, and project management for MEP distributors and rep agencies

Develop Python in a project-aware desktop IDE with a debugger, test runner, and optional coding-agent tools.

Intelligent orchestration platform for the software lifecycle

Edit code, run project tasks, debug, use Git, and preview web work in a Mac-native IDE.

An interactive Python IDE that pairs a source editor with a shell and introspection tools.

Automate unit and regression testing for embedded C/C++ software, from test design to target execution and coverage analysis.

Compile suitable Python numerical functions to machine code when they are first called.

Provision infrastructure from version-controlled configuration with a plan-before-apply command-line workflow.