Cursor vs Augment Code
A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.
Cursor compared with Augment Code
| Detail | Cursor | Augment Code |
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| What it does | AI coding agent for building ambitious software
| Agentic software development at organizational scale
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| Stage | Established
| Growing
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| Founded | Not given
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| Based in | Not given
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| Pricing model | Not given
| subscription
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| Pricing | Not given
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| Key features | - AI agents that autonomously plan, write, and review code
- Works across desktop IDE, CLI, web and mobile
- Understands entire codebase using advanced codebase search
- Multiple AI models including Grok, GPT-5, and Opus
- Team rules to teach preferences and architectural decisions
- Fast codebase search using Instant Grep for large repositories
- Cloud agents that work in parallel for hours or days
- Git and checkpoint system to track code evolution
- Extensible with plugins, skills, and MCP integrations
| - Code review automation with AI agents
- Ticket-to-PR workflow automation
- Vulnerability remediation and CVE patching
- Incident response automation
- Interactive CLI for development
- Semantic codebase understanding via Context Engine
- Multi-model support with Claude and Gemini
- GitHub and GitLab integration
- Service accounts for production automation
- Agent Orchestration Platform
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| What makes it different | - Agents work autonomously, eliminating manual coding tasks
- Available everywhere you work across all development tools
- Understands full codebase context before making changes
- Choose best model for each task with multi-model support
| - Agents understand entire codebase context, not just code snippets, enabling comprehensive changes and reviews across large codebases.
- Complete SDLC automation from ticket triage through deployment, connected loops that hand off between stages.
- Humans remain in control at quality gates with natural language workflow configuration and approval steps built-in.
- Reusable, customizable expert templates that teams can fork, modify, and improve over time.
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| Free plan | Not given
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| Open source | Not given
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| Platforms | Not given
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| Public API | Not given
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| Community votes | 0 | 0 |
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| DR (Domain Rating by Ahrefs) | 90 ● no change since last check | 75 ● no change since last check |
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| Trust Flow (Majestic) | 58 | 31 |
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| Citation Flow (Majestic) | 66 | 52 |
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| Referring domains (Majestic) | 48259 | 4835 |
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4 details filled in for both companies.
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