Amp

Amp

Amp Code
4.7 out of 5 stars
Pane

Pane

Dcouple
+
+

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About

Amp is a frontier coding agent built to give developers full access to the power of today’s leading AI models directly in their workflow. Available in the terminal and popular editors like VS Code, Cursor, Windsurf, JetBrains, and Neovim, Amp integrates seamlessly into existing development environments. It enables developers to delegate complex coding tasks, refactors, reviews, and explorations to intelligent agents that understand and operate across entire codebases. With support for advanced models such as Claude Opus, Gemini, and GPT-class models, Amp delivers fast, reliable, and highly agentic code generation. The platform is designed for real-world engineering work, handling multi-file changes, deep context, and iterative improvements. Amp helps developers move faster while maintaining confidence in code quality.

About

Pane is a desktop workspace for software developers who use terminal-based AI coding agents. It lets users run multiple agents side by side, giving each task an isolated Git worktree and terminal while keeping diffs, logs, an editor, and Git actions in one interface. Pane works with Claude Code, Codex, Cursor, Aider, Goose, OpenCode, and other command-line agents, and includes an orchestrator chat, a command-line interface, and an MCP server that agents can use to create and monitor workspaces. Developers can work across Windows, macOS, and Linux, including Windows Subsystem for Linux, and remotely access a host they control through a browser. The app is open source under AGPL-3.0 and is free; users provide their own AI provider accounts or API keys.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Supported

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Amp is built for professional software developers, engineers, and technical teams who want an advanced AI coding agent to handle complex codebases, accelerate development, and enable more ambitious engineering workflows

Audience

Software developers and engineering teams using terminal-based AI coding agents to run parallel coding tasks and review changes.

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Supported

API

Offers API Not Supported

API

Offers API Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Supported

Pricing

$0
The desktop app is free and open source under AGPL-3.0, with no subscription, per-seat charge, usage cap, or feature gating. Users provide their own AI provider accounts or API keys and pay those providers separately.
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 4.7 / 5
ease 4.7 / 5
features 4.3 / 5
design 4.0 / 5
support 4.7 / 5

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Pros & Cons from Real Users

Pros

  • Good integration with Pycharm, unit tests support, solving quickly programming challenges. The biggest pros -> reading whole source code project and proposing the answer based on the rest of the code.
  • Takes the context of your code to give you answers, the vscode extension is awesome and support was incredibly fast when I had an issue.
  • Amp was easy to get started with and it's very intuitive to use. This has been a nice alternative to coding with ChatGPT up in a browser where I have to copy and paste my code back and forth. I'm a big fan of the preset prompts as there are a few I would never have thought of asking.

Cons

  • Not following the pattern in a single chat even. F.ex. if I polish the tests to be using that framework or that way to mock it for one set of tests, for next method, it is forgetting my earlier "style".
  • Sometimes the context is not that accurate, and the latest version came out bugged
  • Not too many drawbacks outside of the general limitations of the AI. There have been a couple of times I've asked it to rewrite code for me and I had to prompt it to get it to give me an example in actual code vs just advice about how to improve the code.

Training

Documentation Supported
Webinars Not Supported
Live Online Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

Amp Code
United States
ampcode.com

Company Information

Dcouple
runpane.com

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Categories

Categories

Integrations

Cursor Supported
Claude Duet Supported
Claude Opus 5 Supported
Claude Sonnet 4.6 Supported
Claude Sonnet 5.5 Supported
GLM-5.2 Supported
GLM-5.3 Supported
GPT-5.1 Pro Supported
GPT-6.1 Terra Supported
GPT-6.2 Astra Supported
Gemini 3 Pro Supported
Gemini 3.1 Flash-Lite Supported
Go Supported
Java Supported
OpenAI Bel Supported
OpenAI Codex Not Supported
Pascal Supported
React Supported
Rust Supported
Swift Supported

Integrations

Cursor Supported
Claude Duet Not Supported
Claude Opus 5 Not Supported
Claude Sonnet 4.6 Not Supported
Claude Sonnet 5.5 Not Supported
GLM-5.2 Not Supported
GLM-5.3 Not Supported
GPT-5.1 Pro Not Supported
GPT-6.1 Terra Not Supported
GPT-6.2 Astra Not Supported
Gemini 3 Pro Not Supported
Gemini 3.1 Flash-Lite Not Supported
Go Not Supported
Java Not Supported
OpenAI Bel Not Supported
OpenAI Codex Supported
Pascal Not Supported
React Not Supported
Rust Not Supported
Swift Not Supported
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