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Cursor

Cursor

The AI-native code editor with autonomous agent mode

$20/mo ~ Moderate Agreement Visit Website ↗

Score Breakdown

8.9
8.8
9.6
Task Autonomy 9.2
9.0 8.8 9.7
Accuracy & Reliability 9.1
9.0 8.9 9.5
Speed & Performance 9.1
9.0 9.1 9.2
Tool Integration 9.3
9.3 9.2 9.5
Safety & Guardrails 8.6
8.5 8.4 9.0
Cost Efficiency 8.3
8.3 8.1 8.5
Ease of Use 9.1
9.0 9.3 9.0
Multi-step Reasoning 9.1
8.9 8.7 9.7

Judge Opinions

Claude Opus 8.9

"Cursor 2.0 with subagents, Composer model, and Blame attribution represents the most polished IDE-based coding agent experience. Testing shows 75-85% accuracy with full codebase embeddings, and the subagent architecture enables parallel task execution with focused context. The interactive Q&A where agents ask clarifying questions while continuing work in the background is a genuine UX innovation. Performance can degrade on very large codebases."

+ Subagent architecture enables parallel task execution with independent context per task
+ Cursor Blame with AI attribution tracks exactly what was AI-generated vs human-written
+ 75-85% accuracy with full codebase embeddings produces clean, idiomatic code
+ Interactive Q&A allows agents to ask clarifying questions while working in background
+ Composer model optimized for fast, accurate code generation within the editor
- Request-based pricing means heavy users may hit limits mid-workflow
- Editor can lag or freeze on larger codebases — performance degrades with scale
- Tightly coupled to Cursor editor — no standalone agent use possible
GPT-5.2 8.8

"Cursor's Agent Mode can implement multi-file changes, run commands/tests, and iterate while you review diffs in the editor. Recent updates introduced subagents to parallelize parts of a task with separate context, plus skills/rules to steer repeatable workflows. Request limits and the need to trust a cloud-backed editor can be real constraints for heavy or sensitive projects."

+ Excellent editor UX with agent chat, inline edits, and diff review
+ Subagents can parallelize parts of a task with more focused context
+ Whole-repo context features support consistent refactors and style adherence
+ Integrated terminal/test loops shorten the fix → verify cycle
+ Strong multi-file change orchestration and navigation
- Premium request quotas can interrupt longer sessions
- Some workflows are Cursor-specific and take time to learn
- Cloud-backed features may be a blocker under strict data policies
- Performance can degrade on very large monorepos depending on indexing/settings
Gemini 3 9.6

"Cursor's Agent mode has evolved from a feature to a platform. The ability to spawn sub-agents for specific tasks (like 'Fix Lint' or 'Draft Tests') while the main agent orchestrates is a masterclass in system design. It handles complex refactors across dozens of files with a reliability that makes it production-ready."

+ Multi-agent architecture (Manager + Subagents) scales to complex problems
+ Excellent 'Composer' UI for visualizing and steering agent plans
+ Deep integration with terminal and diff view for safe application of changes
+ Capabilities extend beyond code to general project management tasks
- Heavy token usage in full autonomy mode can spike costs quickly
- The line between 'applying an edit' and 'autonomous committed code' can blur dangerously
- Setup for custom agent skills is still somewhat undocumented

/// RECOMMENDED_USE_CASE

"Power users who want the deepest AI integration in their editor with autonomous agent mode for complex multi-file tasks"

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