I’ve been using AI coding assistants since the early days of GitHub Copilot preview. Last month, I hit a wall trying to refactor a legacy Node.js microservice with a messy callback pyramid. I needed something that could understand the whole codebase, not just the current file. That’s when I decided to test Cursor v0.45 and Poe (Quora’s AI platform, specifically its coding bots like Claude 3.5 Sonnet and GPT-4o) head-to-head for two weeks. I built a React dashboard with real-time WebSocket updates, debugged a Python async crawling script, and even asked both to review a 50-page legal contract for clause extraction. Here’s what I found.
Quick Comparison Table
| Feature | Cursor | Poe |
|---|---|---|
| Pricing | $20/month Pro (unlimited completions, 500 fast queries) | $19.99/month (1M compute points, ~500 GPT-4 queries) |
| Codebase Awareness | Full project index (git-aware) | No project context; per-chat only |
| Model Access | Custom models (Claude 3.5, GPT-4o, etc.) + local LLMs | Multiple bots (Claude 3.5 Sonnet, GPT-4o, Gemini Pro, etc.) |
| Inline Editing | Yes, multi-line diff preview | No; copy-paste required |
| Terminal Integration | Full terminal with AI commands | No built-in terminal |
| My Rating (Coding) | 9/10 | 6/10 |
What Each Tool Does Best
Cursor excels as a full-fledged IDE fork of VS Code. It understands your entire project—imports, function definitions, even git history. I could ask it to "find all places where we use the legacy API client and replace it with the new one" and it would apply changes across 15 files with a single accept. The inline diff editor lets me review changes line by line, which I trust more than blind paste.
Poe shines as an aggregator of top AI models for quick, isolated questions. For one-off coding tasks—like "write a Python function to parse this CSV format"—it’s fast and you can switch between Claude, GPT-4o, and Gemini instantly. But it has zero awareness of your project structure. Every chat starts from scratch. For a legal document review, I fed it 50 pages via file upload, and it did a decent job extracting clauses, but it couldn’t cross-reference with my local codebase.
Feature-by-Feature Comparison
Codebase Context & Refactoring — I tested both on the same task: rename a React component
UserProfiletoMemberProfileand update all imports. Cursor used its project index to find 18 references across 7 files, showed me a diff, and applied changes in one click. Poe couldn’t see my files; I had to copy-paste each file manually. For a large refactor, Cursor saved me hours.Inline Editing & Diff Review — Cursor’s inline editor is like Copilot on steroids. I could highlight a function, press Ctrl+K, type "add error handling with retry logic", and see a green/red diff instantly. Poe only provides chat output—no diff, no direct file modification. I found myself copying Poe’s code into Cursor to review it properly.
Multi-Model Switching — Poe lets me switch between Claude 3.5 Sonnet, GPT-4o, and Gemini Pro in the same conversation. For a tricky Python async bug, Claude 3.5 gave me the best answer; GPT-4o was verbose. Cursor also supports multiple models but requires a setting change. Poe’s flexibility is better for experimentation, but Cursor’s single-model focus felt more consistent for coding.
Terminal & Automation — Cursor has a built-in terminal where I can type natural language commands like "find all .log files larger than 10MB and compress them". It executes the shell command and shows output. Poe has no terminal. For DevOps tasks, Cursor is a clear winner.
Pricing & Value — Both are ~$20/month. Cursor’s unlimited completions and 500 fast queries per month are generous for heavy coding. Poe’s compute points burn quickly—one GPT-4 query costs ~500 points, so 1M points lasts ~2000 queries if you use smaller models. For pure coding, Cursor gives more bang for the buck.
The Verdict
Cursor is the clear winner for coding. It’s not even close. If you’re writing code daily, refactoring, or debugging a multi-file project, Cursor’s project awareness and inline editing are indispensable. Poe is better if you need to quickly test different AI models for non-code tasks (writing, research) or if you only write small, isolated scripts. But for serious software development, Cursor wins hands down.
Who is Cursor for? Professional developers who work on large codebases and want AI that understands their project. Who is Poe for? Casual coders, content creators, or anyone who wants to compare AI responses without committing to a single model. I’ll keep using Cursor for my daily work and Poe for exploring new models on the side.
