Should I Use Cursor AI Coding? Inside SpaceX’s $60B Bet

Published: April 23, 2026

⏱️ 19 min

So SpaceX just dropped $60 billion on the option to buy an AI coding tool you’ve probably never heard of. Not a typo. Sixty. Billion. Dollars. That’s more than SpaceX paid for anything, ever, including all those rockets they keep landing (and sometimes not landing). The news broke on April 21, 2026, and by April 22, every tech publication was scrambling to figure out what Cursor actually does and why Elon Musk is willing to bet the GDP of a small country on it.

Here’s what makes this story wild: Microsoft looked at Cursor about a year ago. They kicked the tires. They ran the numbers. And they walked away. Instead, they doubled down on GitHub Copilot, the tool most of us are already using. Fast forward to today, and SpaceX is working with Cursor internally and has secured the right to acquire the entire company for $60 billion later this year. Either Microsoft made one of the biggest miscalculations in tech acquisition history, or SpaceX is overpaying for hype. I spent the last two weeks actually using Cursor to figure out which scenario is closer to reality.

The timing matters because developers everywhere are asking the same question: should I use Cursor AI coding now, before this acquisition goes through and everything potentially changes? Pricing could shift. Features might get locked behind SpaceX infrastructure. Or maybe—just maybe—this tool is about to become the standard for how code gets written in 2026 and beyond. Let’s break down what’s actually happening here.

Why This $60B Deal Matters Right Now

The AI coding assistant market has been absolute chaos for the past 18 months. GitHub Copilot hit critical mass. OpenAI launched ChatGPT’s code interpreter. Anthropic’s Claude became the secret weapon for complex refactoring. Every major tech company decided that autocompleting your Python functions was the future of software development. And honestly? Most of these tools felt like expensive party tricks. Impressive demos, frustrating reality.

Then Cursor showed up and did something different. I’m not going to pretend I understood the hype at first—when I heard “yet another AI coding assistant,” I literally rolled my eyes. But SpaceX doesn’t throw around $60 billion options for vaporware. According to reports from TechCrunch and NBC News, SpaceX is already using Cursor internally for production code. This isn’t a speculative bet on future potential. This is a company saying “this tool is so critical to our operations that we’re willing to pay more than the market cap of Twitter (sorry, X) to own it outright.”

What changed between Microsoft’s pass and SpaceX’s massive bet? The short answer: context windows got bigger, and Cursor figured out how to use them properly. While GitHub Copilot optimized for line-by-line suggestions, Cursor went a different direction entirely. It ingests your entire codebase—and I mean entire, not just the file you’re editing—and maintains that context across your entire development session. That difference sounds minor until you actually use it. Then it clicks.

The deal structure itself is unusual. SpaceX secured an option to buy Cursor for $60 billion later in 2026, not an immediate acquisition. This gives both companies time to integrate workflows, test scalability, and presumably figure out if this marriage makes sense long-term. It also gives Cursor’s team time to finish whatever they’re building that convinced Musk to write a check this size. My guess? They’re solving multi-repository dependencies and cross-service debugging in ways current tools can’t touch. But we’ll get to that.

What Actually Is Cursor AI Coding Tool?

Okay, let’s get technical for a second. Cursor isn’t a plugin—it’s a full IDE fork built on VSCode’s open-source core. That means it looks and feels like the editor you’re already using, but the entire AI layer is rebuilt from scratch. When you ask Copilot to complete a function, it’s looking at maybe 20 lines of context. When you ask Cursor the same thing, it’s cross-referencing your database schema, your API routes, your test files, and that random utility function you wrote three months ago that you forgot existed.

The core features break down like this: Cmd+K lets you highlight code and give natural language instructions (“refactor this to use async/await” or “add error handling for network timeouts”). Cmd+L opens a chat interface where you can ask questions about your codebase (“where are we validating user input?” or “why is this endpoint so slow?”). And here’s where it gets interesting—Cursor maintains conversation history across your entire project, so you can reference previous questions and build on context over time.

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Under the hood, Cursor uses a combination of models. They’re not just wrapping GPT-4 and calling it a day (though they do use OpenAI’s API for some tasks). They’ve built proprietary indexing that creates a semantic map of your code. Think of it like a knowledge graph specifically for your project. When you ask “how does authentication work in this app?”, it’s not doing naive text search. It’s traversing function calls, following imports, and understanding the actual execution flow.

The privacy model deserves mention because it’s going to matter post-acquisition. Right now, Cursor offers a privacy mode where none of your code leaves your machine for training. The AI inference happens via API calls, but your codebase itself stays local. Whether that survives a SpaceX acquisition—where everything tends to get absorbed into centralized infrastructure—remains to be seen. This is one reason developers are testing it now while terms are still independent.

What SpaceX Saw That Microsoft Missed

So why did Microsoft pass? I’ve heard three theories floating around, and at least one of them makes sense. First theory: Microsoft already owns GitHub and Copilot, and buying Cursor would’ve been admitting their existing strategy wasn’t working. Companies with sunk costs in one direction rarely pivot that hard. Second theory: Cursor’s valuation seemed insane 12 months ago, and Microsoft’s finance team couldn’t justify it. Third theory, which I find most plausible: Microsoft evaluated Cursor before the recent model improvements made it genuinely magical.

Here’s what I think SpaceX saw. Elon’s companies have a specific problem: they build absurdly complex systems with tight interdependencies. Starship’s flight control code talks to propulsion systems talks to telemetry talks to ground stations. One change ripples through dozens of modules. Traditional coding tools make this kind of development a nightmare. You’re constantly context-switching between files, trying to remember how systems connect, praying you didn’t break something three layers deep.

Cursor excels at exactly this use case. When you’re working on a massive, interconnected codebase—like, say, rocket control systems or satellite networks—having an AI that understands the entire graph of your code becomes genuinely valuable. Not “nice to have.” Actually critical. SpaceX probably ran internal pilots, watched their engineering velocity increase, and did the math: if Cursor makes our 2,000 engineers 20% more productive, that’s worth way more than $60 billion over a decade.

Microsoft, meanwhile, optimizes for a different customer. Most GitHub users work on smaller projects or contribute to open source. They don’t need whole-codebase understanding—they need fast autocomplete and decent suggestions. Copilot does that well enough. But SpaceX isn’t building WordPress plugins. They’re building infrastructure where one bug can literally cause a rocket to explode. Different requirements, different tool.

There’s also the Musk factor. Elon has a pattern of vertically integrating anything mission-critical. Tesla builds their own AI chips. SpaceX manufactures their own engines. If coding productivity is the bottleneck for building Starship V3 or the Mars colony infrastructure, why wouldn’t you own the tool? Especially if that tool could eventually be sold to every other company trying to build complex systems. The $60 billion option starts looking less like an acquisition and more like infrastructure investment with a side of product spin-out potential.

I Tested Cursor for 2 Weeks—Here’s What Happened

Alright, enough speculation. I migrated my main project—a mid-sized Next.js app with about 80,000 lines of code—to Cursor two weeks ago. Here’s what actually works and what’s still broken in April 2026.

The good: The codebase chat is borderline creepy in how well it works. I asked “where do we handle Stripe webhook errors?” and it not only found the right file but explained the error handling flow across three different services. I asked “why is the /api/users endpoint slower than /api/posts?” and it identified that we weren’t using database indexes properly on the users table. These aren’t trivial questions. Copilot would’ve just stared at me blankly.

Refactoring became absurdly fast. I highlighted a 200-line React component and told Cursor “split this into smaller components and extract the API logic to a custom hook.” It did it. Correctly. With proper TypeScript types. Then I told it “now add loading states and error boundaries,” and it updated all the new components. Five minutes of work that would’ve taken me an hour manually. Maybe two hours if I’m being honest about how much I procrastinate on refactoring.

The frustrating: It still hallucinates imports. I can’t tell you how many times Cursor confidently imported a package that doesn’t exist or created helper functions it thought I had but didn’t. You still need to actually read the generated code, which defeats the “let AI do it” fantasy some people are selling. Also, it’s weirdly bad at CSS. Like, surprisingly bad. Positioning elements with Flexbox? Great suggestions. Making a navbar responsive? Somehow produces code from 2015.

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Performance is hit-or-miss. On my M3 MacBook Pro, it’s snappy. On my older Linux machine, the indexing takes forever and the IDE occasionally freezes when processing large diffs. Your mileage will vary based on hardware. And here’s something nobody’s talking about: the API costs add up fast if you’re using it heavily. I burned through about $40 in OpenAI API credits in two weeks of normal development. That’s with the privacy mode, where you bring your own API key. The hosted option is pricier but more predictable.

Cursor vs GitHub Copilot vs ChatGPT Code Interpreter

You’re probably wondering how Cursor stacks up against the tools you’re already using. Here’s the honest comparison based on two weeks of switching between all three:

Feature	Cursor	GitHub Copilot	ChatGPT Code Interpreter
Codebase Understanding	Full context across entire project	Current file + some context	Only what you paste
Code Generation Speed	Fast for complex tasks	Instant for autocomplete	Slow (requires switching windows)
Refactoring Quality	Excellent (understands dependencies)	Decent but context-limited	Good for isolated functions
Multi-file Edits	Native support with preview	Requires manual coordination	Not supported
Privacy Options	Local indexing + API mode	Enterprise plan only	Everything sent to OpenAI
Pricing	$20/mo + API costs (variable)	$10/mo (flat rate)	$20/mo ChatGPT Plus
Best For	Large codebases, refactoring	Daily autocomplete, small projects	One-off scripts, learning

The honest take? They’re solving different problems. Copilot is still unbeatable for the “tab to accept” flow when you’re writing straightforward code. ChatGPT is great for explaining concepts or generating standalone scripts. But if you’re working on a 50,000+ line codebase and need to make architectural changes or understand how systems interact, Cursor is in a different league. It’s not even close.

That said, Cursor has annoying gaps. The terminal integration is nowhere near as polished as VSCode’s native terminal. The git tooling is barebones—you’ll still want GitLens or similar extensions. And weirdly, the Vim keybindings are slightly off in ways that drive me crazy. These are fixable issues, but they’re there.

Should I Use Cursor AI Coding? The Honest Answer

Here’s where I give you the answer you came for: should you actually use Cursor AI coding in 2026? The short answer is “it depends,” but let me make it more useful than that.

You should definitely try Cursor if:

• You work on codebases over 20,000 lines where understanding system architecture matters
• You spend significant time refactoring or debugging cross-module issues
• You’re comfortable with bleeding-edge tools and can handle occasional weirdness
• You want to test it now before potential pricing changes post-SpaceX acquisition
• Your company’s code privacy requirements allow third-party AI tools (check first!)

Stick with Copilot for now if:

• You primarily write scripts or work on smaller projects
• The $10/month flat pricing of Copilot fits your budget better than variable API costs
• You value stability and polish over cutting-edge features
• You’re working in regulated industries where code can’t touch external APIs
• You just want autocomplete and don’t need complex refactoring assistance

My personal workflow after two weeks: I keep both installed. I use Copilot for the daily grind—writing tests, filling in boilerplate, basic autocomplete. When I need to refactor a major feature or understand how something works across the codebase, I switch to Cursor. It’s like having a sports car and a truck. Use the right tool for the job.

The SpaceX acquisition creates an interesting timing question. If you’ve been curious about Cursor, try it now while it’s still an independent product. Once SpaceX ownership goes through, there’s no guarantee current pricing or features survive. They might integrate it exclusively into SpaceX infrastructure. They might jack up prices. They might open-source parts of it. Nobody knows. But the $60 billion option strongly suggests they see strategic value in controlling this technology.

What This Means for Developers in 2026

Let’s zoom out for a second. The Cursor acquisition—if it closes—represents a major shift in how we think about AI coding tools. Until now, these tools were productivity add-ons. Nice to have, occasionally impressive, but not mission-critical. SpaceX treating a coding assistant as $60 billion infrastructure changes that calculation entirely.

We’re probably entering an era where large companies vertically integrate their development tools the same way they currently control their cloud infrastructure. Amazon has AWS. Google has GCP. Microsoft has Azure. Why wouldn’t they also own the AI layer that writes code for those platforms? SpaceX owning Cursor makes sense in that context—especially if they’re planning to license it to aerospace contractors, defense companies, or anyone building complex embedded systems.

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For individual developers, this creates some uncomfortable questions. Do we want our coding assistants owned by the same companies that control our hosting, our repositories, and our deployment pipelines? What happens when the tool that understands your entire codebase is also feeding insights back to its corporate owner? These aren’t hypothetical concerns. They’re questions we should’ve been asking about Copilot and GitHub, but the Cursor deal makes them more urgent.

On the flip side, serious investment in AI coding tools probably accelerates innovation. If SpaceX is betting $60 billion, Microsoft isn’t going to sit idle. Google will dump more resources into their coding AI. We’ll probably see rapid improvements across the board. Competition benefits users. Usually.

The immediate tactical advice: diversify your tools. Don’t go all-in on any single AI coding assistant. Learn how to use Cursor, Copilot, and ChatGPT. Understand their strengths. That way, when one gets acquired, repriced, or shut down, you’re not stranded. This is the same advice I give about cloud providers, and it applies even more to rapidly-evolving AI tools.

Frequently Asked Questions

Is Cursor AI actually worth $60 billion?

On pure revenue metrics? Absolutely not. Cursor is a young startup without massive user numbers. But SpaceX isn’t buying current revenue—they’re buying strategic infrastructure and future potential. If Cursor genuinely makes large engineering teams 15-20% more productive on complex projects, the math works out for a company spending billions on R&D. Think of it like Tesla buying an AI chip company: the value isn’t the current product, it’s controlling the critical technology.

Will Cursor still work after SpaceX buys it?

Almost certainly yes, but the product might change significantly. SpaceX could integrate it into their internal tools exclusively, raise prices for external customers, or pivot features toward aerospace/defense applications. The option to buy closes later in 2026, so we’ll know more by year-end. For now, Cursor continues operating as an independent company.

Should I switch from GitHub Copilot to Cursor right now?

Not necessarily a full switch—consider using both. Copilot excels at autocomplete and works great for daily coding. Cursor shines when you need to refactor large codebases or understand complex system architecture. Many developers (myself included) keep both installed and switch based on the task. If you work on projects over 20,000 lines of code, Cursor is worth testing. For smaller projects, Copilot’s simplicity might serve you better.

Does Cursor work with languages other than Python and JavaScript?

Yes, Cursor supports all major programming languages since it’s built on VSCode’s foundation. That includes Python, JavaScript, TypeScript, Go, Rust, C++, Java, and more. The AI quality varies by language—it’s strongest on JavaScript/TypeScript and Python because those have the most training data. I’ve used it successfully on Go projects, but the suggestions weren’t quite as sharp as with JavaScript.

What happens to my code privacy with Cursor?

Currently, Cursor offers a privacy mode where your code stays local and only API inference requests go to external servers. Your full codebase doesn’t get uploaded for training. However, privacy policies could change under SpaceX ownership. If code privacy is critical (healthcare, finance, government work), verify the current terms and consider using the bring-your-own-API-key option where you control the data flow.

Final Verdict

So should I use Cursor AI coding? After two weeks of real-world testing, my answer is a qualified yes—if you’re working on the right kind of project. This isn’t a tool for everyone. If you’re building simple CRUD apps or writing scripts, Cursor is probably overkill. Stick with Copilot and save the money. But if you’re maintaining a large codebase, dealing with complex system architecture, or constantly refactoring across multiple modules, Cursor delivers value that genuinely justifies the cost.

The SpaceX $60 billion option validates what early adopters already knew: codebase-level AI understanding represents a fundamental leap beyond autocomplete. Microsoft’s decision to pass looks more questionable by the day, though I suspect their calculation was based on serving millions of GitHub users rather than thousands of rocket scientists. Different markets, different tools.

What makes this moment interesting is the urgency. We’re in a brief window where Cursor operates independently, with transparent pricing and developer-friendly terms. Once the acquisition closes later in 2026, all bets are off. Pricing could change. Features might shift toward SpaceX’s specific needs. Access could become restricted. If you’ve been curious about whether AI coding tools have finally gotten good enough to matter, now is the time to test that hypothesis.

My recommendation: try Cursor for at least a week on a real project, not a toy example. Pay attention to the moments where it saves you serious time versus the moments where you’re correcting its mistakes. Track whether you’re actually shipping faster or just getting distracted by shiny AI features. The tool is legitimately impressive, but it’s not magic. It’s a power tool that makes experts faster—it won’t turn a beginner into a senior engineer overnight.

And yeah, keep watching the SpaceX deal. If it closes at $60 billion, we’ll know the AI coding revolution isn’t coming—it’s already here. If it falls apart, well, we’ll learn something about hype versus reality. Either way, the fact that we’re even having this conversation tells you how fast this space is moving. The question isn’t whether AI will change how we write code. It’s whether you’re ready to start learning these tools before they become mandatory.

Ready to test Cursor yourself? Download the trial and spend a week on a real project. Don’t just read reviews—actually use it where it matters. See if SpaceX’s $60 billion bet makes sense in your own workflow. The only way to know if you should use Cursor AI coding is to try it on code that actually matters to you.