Transcription
You have probably been using Cursor for months, and it made you way faster at coding. Then Anthropic dropped Cloud Code, and suddenly your developer friends are abandoning their IDEs for a terminal. I'm sure the FOMO is real, but you're also skeptical. How could a CLI tool be better than an IDE? After testing both for weeks and spending way too much money on subscriptions, let me walk you through everything you need to know about Cursor and Cloud Code to help you decide which tool to use.
Let's start with the most obvious difference: how you actually use these tools. Cursor feels like home because it is VS Code. File Explorer on the left, tabs up top, terminal below, everything exactly where you expect it. When you invoke the AI, changes appear in real time right in your editor. You can review them, tweak if needed, and ship. It's smooth, visual, and never breaks your flow.
Cloud Code, on the other hand, is pure terminal. No GUI, no buttons, no file tree. Just you, a command prompt, and an AI. Tell it what needs to happen. It shows you the plan and then goes to work. You can watch it autonomously write code, run tests, and fix what breaks. The way I think about it, Cursor integrates into your IDE workflow, while Cloud Code temporarily takes over.
Let's look at how that plays out with code generation. Cursor gives you three entry points, each optimized for different scenarios. First, you have tab completion, which can predict single lines, multiple lines, or entire blocks of code. It even jumps across files to add imports or update code automatically. Second, you have Command K for surgical code generations. You highlight code, type a prompt, and then Cursor will generate the code in place. And finally, you have Agent mode, which handles bigger tasks across multiple files. This is great for building new features from scratch.
With Cloud Code, there's only one option. You type a prompt, and it generates the code. Whether you want to update a single line, add a new feature, or refactor an entire file, it depends on your prompt. But that doesn't mean it's not powerful. I've personally seen Cloud Code do a better job at refactoring extremely large files than Cursor.
Now, let's see how they handle editing the code once it's generated. In Cursor, you edit code just like you would in VS Code. You can manually tweak that CSS color, rename a variable, or fix a typo. When Agent mode suggests changes, you see them in familiar red and green diffs. Accept, reject, or cherry-pick individual lines. There's even a floating review bar for file-by-file decisions, which is a really nice touch.
Cloud Code doesn't do inline editing. If you spot a mistake, you prompt again and let Cloud regenerate. For tiny edits, this feels clunky. Cloud Code is great for comprehensive changes done right the first time, but falls short for fine-grain control.
Speaking of control, let's talk about model access. Cursor gives you the entire model buffet. You've got OpenAI's GPT-4, Claude Opus, Claude Sonnet 4, Google's Gemini 2.5 Pro, and you can switch mid-conversation if one model isn't delivering. They also have this Auto mode that picks the best model for each task.
Cloud Code is Anthropic only. You get Claude Opus 4.1 and Claude Sonnet 4. And that's pretty much it. No GPT, no Gemini. You can switch between them with a slash command, but those are your only options. The upside is you don't waste time deciding which model to use, and the outputs are more consistent. Plus, Anthropic's models are really good at coding anyway, so you rarely feel like you're missing out.
Next, let me walk you through some of the advanced features. Cursor's background agents run tasks in isolated cloud VMs that autonomously create branches, make changes, and submit PRs. You can even launch them from your phone. There's also Auto Run, which removes permission prompts for fully autonomous operation when combined with Agent mode. In Cursor, recently introduced planning with to-do lists that creates structured task breakdowns before implementing, which I believe Cloud Code actually did first.
Cloud Code has Plan mode, where you hit Shift-Tab twice to get a detailed implementation plan you can modify before any code is written. There's Extended Thinking, where you type "think hard" or "ultra think" for increasingly deep reasoning and problem-solving. And there's Agents, which lets you create specialized AI assistants like test runners or security reviewers, each with their own context windows and permissions.
Now, let's talk about what these tools actually cost you, including some hidden costs that aren't on the pricing page but are tucked away in the docs.
Before we dive into pricing, though, let's talk about today's sponsor, Warp. Warp is an agentic development environment that combines the autonomy of Cloud Code with the editing capabilities of Cursor, all-in-one platform to prompt, review, and ship production-ready code with agents. It's currently the number one coding agent on terminal benchmark, ahead of Cloud Code itself, and scored 75% on Swench Verified, which places it in the top three. With Warp, you can review open changes, ask for modifications, and line edit code diffs in a dedicated panel. There's also lightweight code editing with tabbed file viewing, a file tree, and syntax highlighting built right in. So, there's no need to switch to a code editor for quick changes. You can initialize projects with Warp MD files that are compatible with Cloud MD and Cursor rules. Plus, you can define agent profiles and global commands for different workflows. Use the coupon code in the video description to get 70% off on your Warp Pro subscription. It might just become your go-to coding agent.
And now back to pricing and our comparison. Both Cursor and Cloud Code start at $20 per month, but that's where these similarities end. Cursor uses this API agent usage system. You pay for a tier and get a bucket of included usage. Different models burn through it at different rates. Your $20 Pro plan gets you about 225 Claude Sonnet 4 requests, 550 Gemini requests, or 500 GPT requests. So if you prefer Claude for coding, which many people do, you're getting half the requests compared to Gemini. When you go up to Pro Plus at $70, you get about 675 requests. Ultra $200 gets you 4500 requests plus 20x usage on all models. But here's what the pricing page doesn't tell you upfront: background agents are built separately. And if you turn on thinking mode for Claude Sonnet, each request costs double. If you use max mode for those million context windows, it burns through usage way faster. Oh, and if you use Auto mode, where Cursor picks the model, that's $0.25 per million tokens input and $6 per million output. And finally, Bugbot, which is a feature for PR reviews, is another $40 per month on top.
Cloud Code comes bundled with Cloud Pro or Max. No separate subscription. But here's the catch: every Cloud Code command and every Cloud.AI chat comes from the same pool. You get about 45 messages every 5 hours with Pro. If you spend the morning chatting with Claude about a design doc, you have fewer messages for coding in the afternoon. Max plans at $100 or $200 give you 5x or 20x more messages, but they all still share the same 5-hour window.
Here's a quick snapshot of what you get at different price points with both tools.
All right, so these are the real costs, but pricing aside, let's look at how these tools work with your codebase. After all, that's what you're using them for.
When you open a project in Cursor, it indexes everything. Every file gets turned into embeddings, creating this semantic map of your codebase. So, when you ask "Where do we handle payment failures?", it finds the code even if those exact words don't appear in your files. It's searching by meaning, not just text.
Cloud Code takes a more exploratory approach. It reads files on demand, following imports and dependencies like a detective following clues. Surprisingly, it's very good at finding relevant files, but you burn tokens every time.
Next, let's look at how to customize the AI's behavior. Cursor uses a dual system. You've got memories, which are patterns the AI extracts from your conversations, and rules, which are explicit instructions you write. So if you keep telling Cursor to use certain naming conventions, it will create a memory about that. But you can also just write a rule, and it will follow that. These can be project-specific or global across all your projects. The approval system for memories is nice. Cursor suggests a memory based on your patterns, but you have to approve it before it gets saved. So you stay in control of what it remembers about your coding style.
Cloud Code keeps it simpler with the Cloud MD system. It's basically a hierarchy of markdown files. You've got enterprise-level Cloud MD for company standards, user-level for your personal preferences, project-level for team standards, and local-level for stuff you don't want to commit. They cascade down. So local overrides project, project overrides user, and so on.
Now, what about connecting to external services? Cursor makes MCP really straightforward. You pick from a curated list of MCP servers, authenticate, and you're done. The visual interface shows you what's connected with easy on/off toggles. It's basically point and click.
Cloud Code gives you two ways to configure MCP. You can use the CLI and run `cloud mcp add`, then follow the prompts, or you can edit the JSON config directly if you need complex setups. Servers can be scoped to project, user, or local level. And the scope flag controls where configurations live. Both tools support the exact same MCP servers. The difference is that Cursor is way easier if you want to quickly connect something.
And now, let me answer the question that led you here: Should I use Cursor or Cloud Code? After spending serious time with both tools, here's my take as of this recording.
Cloud Code is the better tool for autonomous development. Cursor makes you a faster coder, but Cloud Code handles entire features, multifile refactors, and complex implementations from start to finish.
If you can afford both, here's what you should do: Use Cloud Code for building features, refactoring systems, and tackling the complex stuff. When Cloud Code finishes, open Cursor for the polish. Type completions for quick edits and minor tweaks to code when you notice something is off. Cloud Code builds the house. Cursor paints the walls.
But let's be real about budgets. If you can afford only one tool, go with Cloud Code plus VS Code. You lose Cursor's tab completions, but you keep what actually matters: the ability to describe what you want and have it built for you. VS Code is free and has all the extensions you need. Cloud Code will handle the complex stuff and save you hours.
I hope this comparison guide was helpful. Let me know what you think in the comments below and subscribe for more videos on becoming an AI-native engineer.