Modern Creator
Why Modern Creator?
Mehul Mohan · YouTube

Elon Bought Your Coding IDE

A 13-minute breakdown of why SpaceX acquiring Cursor is really about vertical model ownership — not rockets buying a code editor.

Posted
yesterday
Duration
Format
Talking Head
educational
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11.4K
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Big Idea

The argument in one line.

SpaceX acquiring Cursor completes a vertical AI stack — compute, model, and developer distribution — that lets XAI compete directly with OpenAI and Anthropic on their strongest turf: daily active developer workflows.

Who This Is For

Read if. Skip if.

READ IF YOU ARE…
  • You use Cursor or any AI-assisted IDE and want to understand how the acquisition changes the product trajectory.
  • You are choosing between AI coding tools and wondering whether Cursor's model independence is gone.
  • You follow the AI infrastructure space and want a practitioner's read on what Cursor actually brings to XAI beyond its user count.
SKIP IF…
  • You want a technical deep-dive into Composer 2.5 training details — this is commentary, not a research paper.
  • You are already tracking XAI/SpaceX news daily and have the full context.
TL;DR

The full version, fast.

SpaceX exercised an April option to buy Cursor at a $60B all-stock valuation, folding it into an entity that spans rockets, Colossus data centers, and the Grok model family. The deal isn't about user source code — which isn't trivially useful for training — but about Cursor's reinforcement learning environments, engineering talent, and millions of active developers as instant distribution. Composer 2.5 was already jointly trained with SpaceXAI using 1M H100 equivalents; a purpose-built foundation coding model is the plausible next step. The open multi-model era of Cursor may be narrowing, but the upside is models built specifically for coding rather than borrowed from OpenAI or Anthropic.

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Chapters

Where the time goes.

00:00 – 00:44

01 · Hook: SpaceX acquires Cursor

SpaceX tweet announces all-stock acquisition. Context from April tweet showing the two options Cursor was given.

00:44 – 01:33

02 · SpaceX IPO context

SpaceX stock at $212 vs $1.35 IPO target; $3T valuation on $18-20B revenue; all-stock deal denominated in inflated currency.

01:33 – 02:56

03 · AI harness vs. AI models

Elon assembling best-of-field companies. Cursor's past independence (multi-model), its business model (enterprise + token margins), Composer series built on Kimi.

02:56 – 03:55

04 · XAI / SpaceXAI org map

XAI, SpaceXAI, x.com — one Elon empire with blurry org boundaries. SpaceXAI had already collaborated on Composer 2 and 2.5.

03:55 – 05:33

05 · Composer 2.5 and Grok V9

Jointly trained from scratch on Colossus 2 (1M H100 equiv). Pricing: $0.50/M input, $2.50/M output. Grok V9 Medium 1.5T params, evals look good.

05:33 – 07:51

06 · What Cursor actually brings

Not raw user source code — the RL training environments Cursor built for Composer are the real asset, along with talent and post-training expertise.

07:51 – 09:29

07 · Instant distribution play

XAI had near-zero developer mindshare for coding. Cursor acquisition is the Twitter playbook: buy at scale rather than build from zero.

09:29 – 10:56

08 · Windsurf/Devin comparison

Cognition rebranded Windsurf to Devin Desktop but still offers OpenAI/Claude/Gemini APIs. SWE 1.6 model exists but they are not in the foundational model race.

10:56 – 12:10

09 · Model landscape roundup

Kimi K2.7, SWE 1.6, Opus 4.7, GPT-5.5 as daily drivers; orchestrator/executor pattern for cost-conscious developers; Mistral meme.

12:10 – 12:51

10 · Wrap

Competition and velocity are good for developers. CTA: like, subscribe, comment.

Atomic Insights

Lines worth screenshotting.

  • Cursor was given two options in April: acquisition for $60B or pay $10B for the compute partnership — acquisition was always the more likely outcome.
  • SpaceX stock at $212 on a ~$1.35 IPO target means the all-stock deal is denominated in highly inflated currency — Cursor founders got rich on paper.
  • A $3T valuation on $18-20B revenue is indefensible by traditional metrics; SpaceX is priced as a platform, not a business.
  • Cursor went from a VS Code fork to a company jointly training models with 1 million H100 equivalents — the product category changed completely.
  • The AI harness vs. AI models distinction is the key frame: harness makers get squeezed unless they also own the model layer.
  • User source code from Cursor isn't as valuable as it sounds — pre-training on arbitrary code doesn't work without structure; post-training RL environments are the real asset.
  • RL environments are like games the AI plays to get better — they can be bought or built, and Cursor built them through Composer training runs.
  • Evals looks good means Grok V9 solved the RL environment problems Cursor designed for it — that's the actual signal, not a marketing phrase.
  • Windsurf rebranded to Devin Desktop and still offers OpenAI/Claude/Gemini APIs — they remain harness-only, not model owners.
  • The AI coding IDE market is collapsing from independent multi-model brokers into vertically-integrated stacks owned by model companies.
  • XAI models had near-zero developer adoption before this deal; Cursor gives them millions of daily active users overnight.
  • The orchestrator/executor pattern — smarter model plans, cheaper model executes — is becoming the default workflow for professional developers.
Takeaway

The IDE layer is just distribution — model ownership wins.

WHAT TO LEARN

Any AI coding tool that rents its intelligence from someone else is structurally weak — the acquisition cycle now favors whoever owns the model underneath the harness.

  • Buying an existing platform beats building one cold — SpaceX acquired millions of daily active developers overnight rather than earning them over years.
  • RL training environments are Cursor's real asset, not user source code — raw code doesn't improve a model without carefully designed reinforcement problems.
  • Post-training with RL environments works like a game: set problems, run the model, grade answers, update weights — and Cursor already had those environments built.
  • The orchestrator/executor pattern is becoming the default: a high-capability model plans, a cheaper instruction-following model executes the individual steps.
  • Any coding tool that depends entirely on OpenAI or Anthropic APIs is in a structurally weak position — model companies can cut them out at any time.
  • Windsurf rebranding to Devin Desktop signals a pivot to B2B harness sales — they are choosing not to play the foundational model game.
  • XAI model adoption among developers was near zero before this deal — Cursor's distribution is the prize, not its training data.
Glossary

Terms worth knowing.

AI harness
The software layer that sits above AI models — IDEs, agent shells, chat interfaces. It routes requests to models but doesn't own the intelligence itself.
AI models
The foundation models (GPT, Claude, Grok, Kimi) that do the actual reasoning. Owning the model layer is structurally stronger than owning the harness.
RL environments
Structured problem sets used in reinforcement learning post-training — the AI plays against them repeatedly, and correct solutions improve model weights.
Post-training
Training done after the initial pre-training run to shape model behavior — includes fine-tuning, RLHF, and RL with environment feedback.
Pre-training
The initial large-scale training run where a model learns from massive raw text/code data to build foundational capabilities.
Colossus 2
SpaceX/XAI's supercomputer cluster with approximately 1 million H100-equivalent GPUs, used to train the Grok model family and Composer 2.5.
Composer 2.5
Cursor's jointly-developed model, built on Kimi base models and post-trained with RL environments alongside SpaceXAI using Colossus compute.
Orchestrator/executor pattern
A two-model workflow where a high-capability frontier model generates a plan and a cheaper, faster model executes the individual steps.
Resources

Things they pointed at.

00:07linkSpaceX acquisition tweet Jun 16 2026
01:28productSpaceX stock at $212
03:56linkCursor Composer 2.5 blog post
05:33linkElon Musk Grok V9 Medium tweet May 2026
09:27productDevin Desktop (Cognition) ↗
10:23productSWE 1.6 (Cognition)
10:37linkReddit r/windsurf thread on SWE 1.6 ↗
Quotables

Lines you could clip.

02:47
“Cursor went from a company that is just forking a VS Code IDE and distributing models and creating a harness to a company that is actually training models now.”
Clean one-liner summarizing the entire strategic shift in Cursor product category→ TikTok hook↗ Tweet quote
06:31
“I honestly don't really know what exactly is Cursor bringing on the table except for their team and the talent and whatever post-training they have done on Kimi.”
Honest counter-narrative to the bullish acquisition take; creates tension→ IG reel cold open↗ Tweet quote
08:29
“Instead of creating a new product, he just said screw it, we'll just buy an existing platform which is in good shape. And now he's scaling it.”
Distills the Elon acquisition playbook in two sentences→ newsletter pull-quote↗ Tweet quote
The Script

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00:00A company that builds rockets and wants to send people to Mars and Moon has announced that they want to acquire an AI IDE with a tweet where SpaceX mentioned that it has exercised the option to acquire Cursor AI in an all stock transaction with the goal of building world's most useful AI models. For the past few months, SpaceX AI has been jointly training a model with Cursor, which will be released in Cursor and Grokbuild soon.
00:23And they just look forward to working closely with the Cursor team. And this makes sense because if you look at this tweet from April, you can see the mention that SpaceX and Cursor are now working closely together to create world's best coding work, coding and knowledge work AI and they gave Cursor two options. First is acquisition for $60,000,000,000 or pay $10,000,000,000 for their work together.
00:44So this was basically a set deal, a done deal for SpaceX and for Cursor back in April itself, at least that's what the scenario was. But now because of the SpaceX IPO possibly going way too well, look at this, the SpaceX stock is at $212 right now.
01:01If you look at the actual IPO figure, like where they wanted to start it roughly was $1.35 USD. And this is a massive value for a company, right?
01:11SpaceX is over $2,000,000,000,000 over $3,000,000,000,000 if I'm not wrong.
01:16Their total valuation is almost about $3,000,000,000,000 right now, which is an insanely, absurdly high valuation for a company that's making only $18 to $20,000,000,000 in revenue.
01:27But see the game plan here is simple. Elon is doing the best in across or bringing rather best fields together.
01:35He's bringing space, he's bringing AI and he's building now bringing the companies which are on top of AI as well. We have discussed time and time again that there are basically AI harness which is one thing and then there are AI models which is another thing. Now what made Cursor sort of special was not only that it is actually a good IDE which can potentially you can use to work with any sort of AI model at least in the past.
02:03But also that it was sort of like an independent company, right? So they could probably give you whatever IDE worked best.
02:11So they would give you access to OpenAI models, they'll give you access to Anthropic models. And based on how they were working, they would also give you access to their own models like Cursor created Composer series of models which was sort of built on top of Kimi models which also caused a small controversy when they released Composer two if I'm not wrong because they did not mention that Kimi was the base model under that.
02:37But the idea here is that the way Cursor makes money is through enterprise deals or token margins.
02:45So if they are flowing your tokens through OpenAir and Tropic other models, they might have the option to keep a small cut and just pass on the costs further. Now, this acquisition makes sense because if you look at SpaceX, I mean, on face it will feel like to you like what the hell is going on because SpaceX is a rockets company, right?
03:05But the way Elon is organizing and just doing a lot of these things, it turns out that I don't know what this company is, but there is a company under Elon which is doing space, which is doing data centers and which is also doing AI.
03:21Right? Now sometimes this company is XAI, other times this gets merged into SpaceX to call SpaceX AI and then there is an x.com platform on top of that in the first place.
03:34Then XAI was supposed to work on things like Grok which was a platform as well as their model names. But now because XAI is now SpaceXAI which has also worked with Cursor over the last few months as we saw, potentially over Composer two or Composer three models.
03:50Composer 2.5, sorry. Composer three is not there yet. Composer 2.5 is where we are at.
03:56So you see, if you look at Composer 2.5 and if you read their blog post, you'll see that there are mentions of together with SpaceX AI we are training a significantly larger model from scratch using 10x more compute. With Colossal two's million H100 EQLMs, our combined data and training techniques, expect this to be a major leap in model capacity.
04:15So Cursor went from a company that is just forking a Versus Code IDE and distributing models and creating a harness to a company that is actually training models now. Right?
04:26Composer two and two point five are built with base models which are already there.
04:33But it will not surprise me if eventually they would also build a base model on their own like Kimik 2.5. Right? Because now it looks like they have compute.
04:44They have a million H100 equivalents and they have the backing and the blessing of Elon Musk and his $3,000,000,000,000 company which recently did an IPO.
04:55So it will not surprise me if they are going to launch a foundational model specifically for programming very soon. And if you look at Composers two point five's pricing also, it's relatively affordable.
05:07It's not on the margins of how GBD 5.5 or even like OpenAir or or, you know, Claude prices their models, which is like on the expensive side of things.
05:19So this is even affordable in some way on API pricing as well, Not just subscription, which I'm sure they would also offer at some point. And as you can see, this was sort of evident from Elon's tweet also back in May that Grok's foundation model V9Medium, which is a 1,500,000,000,000 parameter model, has finished training, Evals looks good, a lot of Cursor data was added in supplementary training and there is more to come.
05:41Right, so I honestly don't really know what exactly is Cursor bringing on the table except for their team and the talent and whatever post training they have done on Kimi.
05:54And you might say that hey Mehul, how can you say that there are millions or even hundreds of millions of developers using Cursor every day. Right? So they have a lot of data.
06:04Well the thing is the problem with this data that people are writing and typing even if Cursor hypothetically has their source code with them it's not as simple as that you just take some arbitrary random data and you just start training a model on top of that.
06:19Especially not in the post training part which is what cursor has been doing so far. So pre training yes maybe in pre training case you can have like your AI model is actually digesting and looking at all sorts of data.
06:33But I doubt that Cursor was going to build or at least pre train a model from scratch like build a foundation model on their own. Maybe with XAI they would but not on their own because this is actually very expensive.
06:46But at the same time, the post training that cursor is doing it's almost fully done using techniques like reinforcement learning environments. Right? And I've talked about this a little bit on the channel.
06:57I'll start covering this more because I'm also trying to get involved into this field. But the idea here is that these are like sort of games in a way that your AI plays in order to get better, right?
07:08Which has the challenges, rewards, problem statements, whatever needs to be done. So these environments are created by external people. You can either buy these environments or you can build them on your own.
07:18And you run your AI against them in training phase so you train your AI on these reinforcement learning environments and you improve the weights of the model and then you also run evals on top of that.
07:30Once the model is trained you check how good the model is in the place. Which is what Elon said. Evals looks good.
07:36This line if you don't understand this what this means is that the reinforcement learning environments that Cursor had or probably like wherever they got them and they ran it on this Grok foundational model V9 that was able to solve the problems the AI was given. The AI was able to solve those problems.
07:54That is what this line means. Yeah, but this is super interesting that we have yet another player entering into the coding space.
08:03Honestly speaking nobody at least as of now that I know, nobody actually uses XAI's models for coding. Right?
08:11It's not that popular. Maybe like there would be a small set of Elon fans who are using this. But I don't see it in interactions I'm doing with people, in day to day people just talking about which models are good about coding.
08:24But I do feel that this could change rapidly for a couple of reasons. First of all because of this cursor acquisition.
08:33So basically SpaceX or XAI or whatever SpaceXAI they just got a core product which has millions of users already. That is how Elon also moved on acquiring x.com Twitter.
08:46Instead of creating a new product, he just said that, Screw it. We'll just buy an existing platform which is in good shape. And now he's scaling Twitter.
08:55I feel that this strategy should work out relatively well because Cursor despite all the competition and other problems it has and the subscription challenges that these companies have right now, the subsidy challenges, despite all of that, given that Cursor is now getting acquired by a company which can and has built foundational models you can expect some of the best development experience and development velocity new models getting out and delivered to you very soon.
09:27I sort of expected it when Cognition acquired Windsurf but it seems like they are a little bit stuck into the branding part itself. Right?
09:35So you can see like they have basically rebranded Windsurf into Dev and Desktop, first of all. Second of all, as far as I can tell, Cognition is a great company.
09:45It has some of the best founders academically that I have seen. But they are still not playing that foundational model game, right, as far as I know.
09:54They are building the AI harness and they are into the B2B space for selling this. But again, at the end of the day, they are still offering OpenAI, Claude and Gemini Frontier models as APIs, right, on top of their oh, actually, I I did actually forget.
10:09They did made a SWE model. Right? Yeah.
10:11I never got to use this because I don't use WinServe that much. But if is SWE 1.6 worth the hype?
10:19So the first feedback we have is pretty good for what it is. It's not SONNET. I usually use SONNET to plan out changes and then use SWE to implement the plan again.
10:27You know, we keep on seeing this pattern over and over again where you use a better model for thinking and then you use a instruction following model for executing. Right? So executor could be a cheaper model, but basically you want a smarter model to think out the plan details.
10:42So the guy says it's pretty good, slightly better I'd say, but I have time out issues with it, which is I'm assuming Kimi K 2.6. And now we have Kimi K2.7 code as well. Right?
10:53So I'm assuming that that bypasses the SWE 1.6 according to that person.
11:00So I mean if you have money and if you have time to wait I think like you know, plus 4.7A, GBD 5.5. These are the sort of models that you'll just end up keeping using over and over again for everything.
11:10If you're a little bit money conscious, you're paying APR rates, you know, you don't want to spend way too much, then you will have this orchestration sort of thing happening where for some things you're using something else. For others, you're using something cheaper as an option.
11:22But I don't know, we don't know where this would end. What's the end result of doing all of this?
11:30Every single company that we know who's working on Frontier AI right now, Anthropic, I would probably add XAI also now given that the cursor acquisition is a big thing for programmers at least.
11:42OpenAI we have let's say Kimi, DeepSeek, GLM, ZAI or rather I should just say or Moonshot for Kimi.
11:52You know, tell me if I'm missing any other interesting companies. Mistral maybe. I don't know like what's going on with Mistral.
11:57There's a cat meme that's going on X these days. I don't know if you guys are following but people are saying that Mistral is about to release like a GAT model or something.
12:06I don't know like what the meme is about. But I hope that's true because more content to cover, more sponsors to integrate even though this is not a sponsored video.
12:15So make sure you leave a like and subscribe. But yeah, this is actually good right in terms of pricing, in terms of competition, in terms of velocity of things that are getting shipped.
12:29It's a fun time to live in. That's all for this video. Hopefully you liked it.
12:34If you did make sure to leave a like and subscribe to the channel. I am going to see you in the next video soon.
12:39If you're still watching, make sure you leave a comment. I watched till the end below to tell me that you were still here. And let me know what do you think about the video.
The Hook

The bait, then the rug-pull.

When a rocket company buys a code editor, the knee-jerk reaction is confusion. The real story is that SpaceX isn't buying a text editor — it's buying the distribution layer that sits between millions of developers and whatever AI model they use every day.

Frameworks

Named ideas worth stealing.

01:33concept

AI harness vs. AI models

The harness (IDE, agent shell) routes requests to models but doesn't own intelligence. Model owners hold the structurally stronger position.

Steal forany analysis of AI tool company competitive moats
06:20concept

Pre-training vs. post-training asset distinction

Raw user code is useful for pre-training. RL environments are what makes post-training work. Cursor's value is in the latter.

Steal forAI company due diligence or discussion of what data moats actually means
10:40model

Orchestrator / executor pattern

  1. Orchestrator: high-capability model plans and reasons
  2. Executor: cheaper instruction-following model implements

Use an expensive frontier model for planning, a cheaper model for execution. Reduces cost without sacrificing plan quality.

Steal forany agentic coding workflow or multi-model cost optimization
CTA Breakdown

How they asked for the click.

VERBAL ASK
12:10subscribe
“That's all for this video. Hopefully you liked it. If you did make sure to leave a like and subscribe to the channel.”

Standard subscribe ask at the end, light and non-pushy. Also uses a mid-video self-deprecating aside about not being sponsored.

MENTIONED ON CAMERA
09:27productDevin Desktop (Cognition) ↗
10:37linkReddit r/windsurf thread on SWE 1.6 ↗
FROM THE DESCRIPTION
OTHER LINKSAlso linked in the description.
Storyboard

Visual structure at a glance.

SpaceX tweet
hookSpaceX tweet00:00
SpaceX stock
contextSpaceX stock01:26
harness vs models
frameworkharness vs models01:50
Composer 2.5 benchmarks
valueComposer 2.5 benchmarks04:05
RL environments diagram
valueRL environments diagram07:00
Devin Desktop
comparisonDevin Desktop09:27
Reddit SWE feedback
social proofReddit SWE feedback10:57
wrap
ctawrap12:11
Frame Gallery

Visual moments.

SpaceX tweet00:00Frame at 00:14 from Elon Bought Your Coding IDE00:14Frame at 00:24 from Elon Bought Your Coding IDE00:24Frame at 00:33 from Elon Bought Your Coding IDE00:33Frame at 00:43 from Elon Bought Your Coding IDE00:43SpaceX stock00:56
SpaceX tweet00:00Frame at 00:14 from Elon Bought Your Coding IDE00:14Frame at 00:24 from Elon Bought Your Coding IDE00:24Frame at 00:33 from Elon Bought Your Coding IDE00:33Frame at 00:43 from Elon Bought Your Coding IDE00:43SpaceX stock00:56Frame at 01:02 from Elon Bought Your Coding IDE01:02Frame at 01:12 from Elon Bought Your Coding IDE01:12Frame at 01:21 from Elon Bought Your Coding IDE01:21Frame at 01:27 from Elon Bought Your Coding IDE01:27Frame at 01:41 from Elon Bought Your Coding IDE01:41harness vs models01:50Frame at 02:00 from Elon Bought Your Coding IDE02:00Frame at 02:10 from Elon Bought Your Coding IDE02:10Frame at 02:19 from Elon Bought Your Coding IDE02:19Frame at 02:29 from Elon Bought Your Coding IDE02:29Frame at 02:39 from Elon Bought Your Coding IDE02:39Frame at 02:48 from Elon Bought Your Coding IDE02:48Frame at 02:58 from Elon Bought Your Coding IDE02:58Frame at 03:07 from Elon Bought Your Coding IDE03:07Frame at 03:17 from Elon Bought Your Coding IDE03:17Frame at 03:27 from Elon Bought Your Coding IDE03:27Frame at 03:36 from Elon Bought Your Coding IDE03:36Frame at 03:46 from Elon Bought Your Coding IDE03:46Composer 2.5 benchmarks03:56Frame at 04:05 from Elon Bought Your Coding IDE04:05Frame at 04:15 from Elon Bought Your Coding IDE04:15Frame at 04:25 from Elon Bought Your Coding IDE04:25Frame at 04:34 from Elon Bought Your Coding IDE04:34Frame at 04:44 from Elon Bought Your Coding IDE04:44Frame at 04:53 from Elon Bought Your Coding IDE04:53Frame at 05:03 from Elon Bought Your Coding IDE05:03Frame at 05:13 from Elon Bought Your Coding IDE05:13Frame at 05:22 from Elon Bought Your Coding IDE05:22Frame at 05:32 from Elon Bought Your Coding IDE05:32Frame at 05:42 from Elon Bought Your Coding IDE05:42Frame at 05:51 from Elon Bought Your Coding IDE05:51Frame at 06:01 from Elon Bought Your Coding IDE06:01Frame at 06:11 from Elon Bought Your Coding IDE06:11Frame at 06:20 from Elon Bought Your Coding IDE06:20Frame at 06:30 from Elon Bought Your Coding IDE06:30Frame at 06:39 from Elon Bought Your Coding IDE06:39Frame at 06:49 from Elon Bought Your Coding IDE06:49Frame at 06:59 from Elon Bought Your Coding IDE06:59Frame at 07:08 from Elon Bought Your Coding IDE07:08Frame at 07:18 from Elon Bought Your Coding IDE07:18Frame at 07:28 from Elon Bought Your Coding IDE07:28Frame at 07:37 from Elon Bought Your Coding IDE07:37Frame at 07:47 from Elon Bought Your Coding IDE07:47RL environments diagram07:57Frame at 08:06 from Elon Bought Your Coding IDE08:06Frame at 08:16 from Elon Bought Your Coding IDE08:16Frame at 08:25 from Elon Bought Your Coding IDE08:25Frame at 08:35 from Elon Bought Your Coding IDE08:35Frame at 08:45 from Elon Bought Your Coding IDE08:45Frame at 08:54 from Elon Bought Your Coding IDE08:54Frame at 09:04 from Elon Bought Your Coding IDE09:04Frame at 09:14 from Elon Bought Your Coding IDE09:14Frame at 09:27 from Elon Bought Your Coding IDE09:27Devin Desktop09:33Frame at 09:43 from Elon Bought Your Coding IDE09:43Frame at 09:52 from Elon Bought Your Coding IDE09:52Frame at 10:02 from Elon Bought Your Coding IDE10:02Frame at 10:11 from Elon Bought Your Coding IDE10:11Frame at 10:21 from Elon Bought Your Coding IDE10:21Frame at 10:31 from Elon Bought Your Coding IDE10:31Frame at 10:40 from Elon Bought Your Coding IDE10:40Frame at 10:50 from Elon Bought Your Coding IDE10:50Frame at 11:00 from Elon Bought Your Coding IDE11:00Reddit SWE feedback11:09Frame at 11:19 from Elon Bought Your Coding IDE11:19Frame at 11:29 from Elon Bought Your Coding IDE11:29Frame at 11:38 from Elon Bought Your Coding IDE11:38Frame at 11:48 from Elon Bought Your Coding IDE11:48Frame at 11:57 from Elon Bought Your Coding IDE11:57Frame at 12:07 from Elon Bought Your Coding IDE12:07Frame at 12:17 from Elon Bought Your Coding IDE12:17Frame at 12:26 from Elon Bought Your Coding IDE12:26wrap12:36Frame at 12:46 from Elon Bought Your Coding IDE12:46
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