Amp

Amp

Amp Code
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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

Muse Code is Meta’s terminal coding agent, powered by Muse Spark 1.2, for handling complex software engineering tasks across large repositories. The agent can plan changes, write code, validate results, and coordinate multiple persistent subagents during development sessions. Muse Code uses async background agents that stay active throughout a session to reduce repeated information gathering and help complete multi-step tasks with less steering. Its runtime uses a local event log that records model calls, tool runs, approvals, and edits so sessions can be replayed and resumed after failures. Muse Code includes bundled skills such as /plan for approval-gated planning, /grill for stress-testing plans, and /goal for working toward completion. Built for AI developers and software teams, Muse Code helps automate coding workflows, long-running engineering tasks, debugging, and repository-level development.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

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 engineers, AI developers, coding agent users, platform teams, DevOps teams, ML engineers, research teams, enterprise development teams, and organizations that need terminal coding agents, repository automation, code generation, debugging, validation, persistent subagents, replay-safe execution, long-running coding workflows, and end-to-end software development support

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version
Free Trial

Pricing

$1.25 per 1M tokens (input)
Standard pricing: $1.25 per million input tokens and $4.25 per million output tokens

Discounted "contributor" tier costing $0.10 per million input tokens and $0.20 per million output tokens for users who agree to share feedback to improve the AI.
Free Version
Free Trial

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 5.0 / 5
ease 5.0 / 5

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.

Pros & Cons from Real Users

Pros

  • Muse Code looks exciting because Meta is finally going after coding agents directly, not just releasing another general AI model. A terminal-based agent that can write code, inspect software, run tests, and validate changes is exactly the kind of workflow developers actually care about. The pricing angle is a big deal. Meta is pitching Muse Code as one of the more affordable coding agents, with a lower-cost tier that is reportedly less than one-tenth the cost of its general Muse Spark model. That matters if you use coding agents all day instead of just for the occasional refactor. I also like that it is powered by Muse Spark 1.2, which sounds more focused on software engineering than earlier Muse Spark releases. If Meta can make the agent reliable inside real repos, Muse Code could become a serious daily tool.

Cons

  • It is still in beta, so I would not trust it blindly yet. Coding agents need to prove themselves on messy codebases, failing tests, weird dependencies, security-sensitive changes, and long multi-step tasks. I would also want to see more independent developer feedback. Meta’s pricing and positioning are interesting, but the real test is whether Muse Code can consistently make good changes without wasting time or creating cleanup work.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Amp Code
United States
ampcode.com

Company Information

Meta
Founded: 2004
United States
meta.ai

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

Claude Code

Claude Code

Anthropic
Kimi Code CLI

Kimi Code CLI

Moonshot AI
Claude Code

Claude Code

Anthropic
Cline

Cline

Cline AI Coding Agent

Categories

Categories

Integrations

COBOL
CUDA
Claude Haiku 4.5
Claude Sonnet 3.7
GPT-5
GPT-5.1
GPT-5.2 Pro
GPT-5.4 mini
GPT-5.5
GPT-5.5 Pro
Gemini
Gemini 2.5 Pro
Muse Spark
OpenAI o1
PHP
Pascal
PowerShell
PyCharm
Python
Sourcegraph

Integrations

COBOL
CUDA
Claude Haiku 4.5
Claude Sonnet 3.7
GPT-5
GPT-5.1
GPT-5.2 Pro
GPT-5.4 mini
GPT-5.5
GPT-5.5 Pro
Gemini
Gemini 2.5 Pro
Muse Spark
OpenAI o1
PHP
Pascal
PowerShell
PyCharm
Python
Sourcegraph
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