Augment Code vs. Muse Code Comparison


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		Related Products JetBrains Junie Junie is JetBrains' AI coding agent, built to be cost-efficient. It plans with a powerful model and implements with a faster one, so you spend fewer tokens per task while getting the same quality. On the independent SWE-Rebench benchmark, Junie resolves more real-world coding issues than other leading agents, at a lower cost per task. Junie supports the latest models from major frontier labs on day zero, so you're never waiting on integration work to use what just shipped. It works with almost any model you choose, inside IDEs like IntelliJ IDEA, directly from the terminal, or from GitHub and GitLab issues and merge requests. A human stays in the loop. Junie asks for approval before risky actions, and you can redirect it mid-task instead of starting over. Teach Junie your team's coding standards, naming conventions, and review process, and switch from another AI coding agent in seconds with no extra setup. 12 Ratings Visit Website Retool Retool is the AI-native enterprise app development platform where teams build and ship production-ready apps — at AI speed, with enterprise governance built in. Describe what you need and get a working app, import React-based apps from Lovable, Replit, or Claude Code, or connect your AI agent via MCP. However your team builds, every app lands in Retool with RBAC, SSO, audit logging, and your existing permissions already in place. Retool connects to databases, APIs, LLMs, and external tools out of the box. Teams can build AI agents, dashboards, workflows, and full-stack apps — with a visual editor for speed and direct code access for precision. Trusted by over 10,000 organizations including Amazon, Stripe, DoorDash, and OpenAI to get AI-built apps safely to production. 598 Ratings Visit Website Google AI Studio Google AI Studio is a unified development platform that helps teams explore, build, and deploy applications using Google’s most advanced AI models. It brings text, image, audio, and video models together in one interactive playground. With vibe coding, developers can use natural language to quickly turn ideas into working AI applications. The platform reduces friction by generating functional apps that are ready for deployment with minimal setup. Built-in integrations like Google Search enhance real-world use cases. Google AI Studio also centralizes API key management, usage monitoring, and billing. It offers a fast, intuitive path from prompt to production powered by vibe coding workflows. 41 Ratings Visit Website BAND BAND builds enterprise-grade interaction infrastructure for distributed AI agents. 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Teams get security done with Aikido thanks to: - False-positive reduction - AI Autotriage & AI Autofix - Deep integration into the dev workflow (from IDEs and task managers to CI/CD gating) - AI Pentests - Automated Compliance Aikido covers the entire Software Development Lifecycle (SDLC), including: static application security testing (SAST), dynamic application security testing (DAST), infrastructure-as-code (IaC), container scanning, secrets detection, open source license scanning (SCA), cloud posture management (CSPM), runtime protection, AI pentests, and more. 364 Ratings Visit Website Gemini Enterprise Agent Platform Gemini Enterprise Agent Platform is a comprehensive solution from Google Cloud designed to help organizations build, scale, govern, and optimize AI agents. It represents the evolution of Vertex AI, combining advanced model development with new capabilities for agent orchestration and integration. 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Pensero turns them into a portfolio with a return. 3 Ratings Visit Website Jotform Trusted by over 25 million users, Jotform is an all-in-one, no-code platform that simplifies data collection, automation, and online sales. Using its drag-and-drop Form Builder, businesses can create customized forms and surveys to collect leads, payments, and e-signatures. With 10,000+ templates and advanced features like conditional logic and 200+ integrations, Jotform streamlines workflows. Jotform's AI-powered Agents provide real-time customer support, guiding users through form submissions, answering questions, and ensuring a smooth experience while reducing manual intervention. These AI agents learn from interactions to improve responses, enhancing efficiency and customer satisfaction. The platform also includes a Store Builder to sell products and services, accept payments through 30+ gateways, and tools like Approvals and Report Builder to automate workflows and generate actionable insights. 9,009 Ratings Visit Website StackAI StackAI is an enterprise AI automation platform to build end-to-end internal tools and processes with AI agents in a fully compliant and secure way. Designed for large, regulated organizations, it enables teams to automate complex workflows across operations, compliance, finance, IT, and support without heavy engineering. 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About Augment Code is an AI-powered software development platform that helps engineering teams write, understand, review, and maintain code across complex projects. Its Context Engine uses semantic indexing to analyze codebases, identify relationships between files, and retrieve relevant information from multiple repositories. The platform provides AI coding agents that assist with implementing features, debugging issues, refactoring code, and generating tests. Developers can access these capabilities through supported development environments, command-line tools, and integrations with other AI coding assistants. Augment Code also offers automated code review functionality that evaluates changes for correctness, security concerns, and architectural issues. Its agent orchestration capabilities support coordinated development workflows with human approval checkpoints and shared knowledge across engineering teams.	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 Supported Mac Supported Linux Supported Cloud Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported	Platforms Supported Windows Supported Mac Supported Linux Supported Cloud Not Supported On-Premises Not Supported iPhone Not Supported iPad Not Supported Android Not Supported Chromebook Not Supported
Audience Software developers, engineering teams, DevOps professionals, platform engineers, technical leads, and enterprise development organizations seeking AI-assisted coding, codebase analysis, automated code reviews, and coordinated software development 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 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 Supported	API Offers API Supported
Screenshots and Videos View more images or videos	Screenshots and Videos View more images or videos
Pricing $50 per developer per month Plans: Community: Free Developer: $50/month Pro: $100/month Max: $250/month Free Version Supported Free Trial Supported	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 Supported Free Trial Not Supported
Reviews/Ratings Overall 5.0 / 5 ease 4.5 / 5 features 5.0 / 5 design 5.0 / 5 support 5.0 / 5 Read all reviews	Reviews/Ratings Overall 5.0 / 5 ease 5.0 / 5 Read all reviews
Pros & Cons from Real Users Pros Clean, easy-to-use interface Smart, fast, and helpful AI suggestions Very responsive and human-centered support team Transparent pricing and generous gesture when issues arise The team genuinely cares about their users Augment Code's new Remote Agents feature is a game-changer for professional software engineers, particularly when working with large codebases. As a developer, I’ve never had an assistant so deeply integrated into my workflow. The AI-powered Agent knows my codebase inside and out, and it provides real-time insights, context, and suggestions, tailored specifically to my project. Whether I’m working on SDK migration, code refactoring, or documentation, the agent offers step-by-step guidance to help me navigate complex tasks with ease. One of the standout features is multi-repo code context—I no longer need to switch between multiple repositories or lose track of dependencies. This saves a tremendous amount of time and ensures I stay productive. Augment Code integrates seamlessly with popular IDEs like VS Code, IntelliJ, Vim, and even Slack, ensuring it fits perfectly into my existing workflow. Cons Minor billing hiccup when updating payment methods Initial confusion around subscription renewal While the AI Agent is impressive, the only limitation I’ve encountered is that it occasionally struggles with providing context for very specific, niche libraries or tools that are not part of the more common frameworks. However, this is a minor issue and doesn’t detract from the overall usefulness of the tool, especially when it’s highly effective with mainstream tools and codebases.	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 Supported Webinars Not Supported Live Online Not Supported In Person Not Supported	Training Documentation Supported Webinars Not Supported Live Online Not Supported In Person Not Supported
Company Information Harness Founded: 2022 United States www.augmentcode.com	Company Information Meta Founded: 2004 United States meta.ai
Alternatives JetBrains Junie JetBrains	Alternatives Claude Code Anthropic
Amp Amp Code	GitHub Copilot GitHub
Aider Aider AI	Hermes Agent Nous Research
Claude Code Anthropic	Muse Spark 1.2 Meta
Cursor View All	Meta Model API Meta View All
Categories Agentic AI Supported Agentic CLI Coding Tools Supported AI Code Generators Supported AI Code Review Supported AI Coding Agents Supported AI Coding Assistants Supported Vibe Coding Supported	Categories Agentic CLI Coding Tools Supported AI Coding Agents Supported

Integrations Android Studio Supported CLion Supported Claude Fable 5.5 Supported Claude Opus 5 Supported DataGrip Supported GLM-5.2 Supported GPT-5.1 Pro Supported GPT-5.4 Supported GPT-5.6 Sol Supported GPT-6 Sol Supported Grok 4.5 Supported IntelliJ IDEA Supported Java Supported Kimi K3 Supported Model Context Protocol (MCP) Supported PHP Supported RustRover Supported Slack Supported Vim Supported Visual Studio Code Supported Show More Integrations View All 91 Integrations	Integrations Android Studio Not Supported CLion Not Supported Claude Fable 5.5 Not Supported Claude Opus 5 Not Supported DataGrip Not Supported GLM-5.2 Not Supported GPT-5.1 Pro Not Supported GPT-5.4 Not Supported GPT-5.6 Sol Not Supported GPT-6 Sol Not Supported Grok 4.5 Not Supported IntelliJ IDEA Not Supported Java Not Supported Kimi K3 Not Supported Model Context Protocol (MCP) Not Supported PHP Not Supported RustRover Not Supported Slack Not Supported Vim Not Supported Visual Studio Code Not Supported Show More Integrations View All 6 Integrations
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