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

Write load-test scenarios as code and control the request rate sent to an application.

Generate typed accessors for compact serialized data that applications can read directly from a buffer.

An agent-based monitoring pipeline that turns checks and metrics into routed, actionable events.

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

Configure native-code builds in a separate build directory, then compile and run registered tests.

Run Terraform plan and apply workflows in response to pull request comments.

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

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

Orchestrate infrastructure-as-code stacks and run commands only where repository changes require them.

Mutate Python code and rerun its tests to find changes the suite fails to catch.

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

An immersive Smalltalk environment where a live image, code tools, and debugger support immediate feedback.

A cross-platform C, C++, and Fortran IDE built around configurable compiler and debugger integrations.

A free shared teaching and collaboration canvas with video, screen sharing, and equation tools.

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

Generate a tags index of source-code definitions for navigation from a compatible editor or tool.

Build and debug Ruby and Rails projects in a dedicated JetBrains IDE.

A lightweight cross-platform editor/IDE with configurable compile, build, and run commands.

Write HTML, CSS, and JavaScript in a browser editor with an updating preview.

Store notes and files in an encrypted notebook that syncs across devices.

A Python and R IDE that pairs script and notebook editing with live data exploration tools.

Define metrics as code and explore them through dashboards or natural-language analysis.

A design skill that helps AI coding agents build and refine user interfaces.