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About

Cursor is an AI coding agent and development platform for building ambitious software faster. The platform lets developers hand off tasks to agents that can build, test, demo, and prepare features for review. Cursor supports autonomous and parallel agent workflows, including cloud agents that can work on multiple tasks across repositories. It runs across the editor, terminal, Slack, and GitHub, helping teams automate coding, code review, PR workflows, and repetitive engineering work. Cursor also lets users choose from leading AI models for different tasks, including models from OpenAI, Anthropic, Gemini, SpaceXAI, and Cursor. Built for developers, engineering teams, and enterprises, Cursor helps accelerate software development while keeping humans focused on decisions and review.

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

Developers, engineering teams, software companies, startups, enterprise engineering organizations, product teams, DevOps teams, AI coding teams, code reviewers, and technical leaders that need AI coding agents, autonomous development, cloud agents, parallel task execution, code review, CLI workflows, Slack collaboration, GitHub integration, model choice, automations, and secure software development at scale

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

$20/month
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 5.0 / 5
ease 5.0 / 5
features 5.0 / 5
design 5.0 / 5
support 5.0 / 5

Reviews/Ratings

Overall 5.0 / 5
ease 5.0 / 5

Pros & Cons from Real Users

Pros

  • Cursor is one of the best AI coding tools because it feels built around how developers actually work. It is not just autocomplete; it can understand a repo, make edits, explain code, help debug, and work through bigger tasks with an agentic workflow. I like that it combines the familiar feel of a code editor with deeper AI features like Agent mode, project rules, MCP, skills, and CLI support. That makes it useful for everyday coding, but also flexible enough for more advanced workflows. The model options and pricing controls are also helpful. Being able to choose stronger or cheaper models depending on the task makes Cursor easier to fit into a real development routine.
  • I'm a novice to intermediate programmer and I've always felt a bit overwhelmed by editors. I've been learning to code by copy and pasting a million times into chatgpt. Switching to cursor saves me so much time, and I love how easy it is to give it the context. It has this awesome feature where you can upload docs into it and it can go pull the docs when answering questions, which was one of my biggest pain points as a user when AI would give me old docs or out of date code. Another epic feature was the natural language terminal commands, which have allowed me to get through projects i previously would get stuck on.

Cons

  • I don't have any cons about Cursor. Use it daily in my development.
  • No IDE is perfect, but this one is by far my favorite. I think most of the cons lie in the limitations of the AI models right now. I think the code interpreter is a littley sketchy to use becuase it's hard to see exactly what code its suggesting I change so I ran into some issues when using it without double checking the work, but it also saved me in a couple spots I got stuck.

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

Cursor
Founded: 2022
United States
www.cursor.com

Company Information

Meta
Founded: 2004
United States
meta.ai

Alternatives

JetBrains Junie

JetBrains Junie

JetBrains

Alternatives

Claude Code

Claude Code

Anthropic
Bolt.new

Bolt.new

StackBlitz
Devin Desktop

Devin Desktop

Cognition
Amp

Amp

Amp Code

Categories

Categories

Integrations

AgentKey
Agentcard
Agentforce Vibes
Anthropic
BrainGrid
Claude Sonnet 4.5
Deepgram Saga
DryRun Security
Easy MCP AI
GPT-5.1-Codex-Max
Gemini 3.5 Pro
Golf
Keycard
Koidex
Memmy
MythOS
Obot MCP Gateway
OpenViking
Oxylabs
PinAppAI

Integrations

AgentKey
Agentcard
Agentforce Vibes
Anthropic
BrainGrid
Claude Sonnet 4.5
Deepgram Saga
DryRun Security
Easy MCP AI
GPT-5.1-Codex-Max
Gemini 3.5 Pro
Golf
Keycard
Koidex
Memmy
MythOS
Obot MCP Gateway
OpenViking
Oxylabs
PinAppAI
Claim Cursor and update features and information
Claim Cursor and update features and information
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Claim Muse Code and update features and information