I Let AI Code for 11 Hours Straight—Here’s What Happened

I told an AI to build me an app, walked away from my computer, and came back 11 hours later to find more than 10,000 lines of code and a fully functional application waiting for me. I didn’t press a single key. I didn’t write a single line of code. I wasn’t even in the room. And here’s what really surprised me: it wasn’t OpenAI. It wasn’t Google. It came from China.

The model behind this is Alibaba’s Qwen 3.7 Plus—a multimodal agent that doesn’t just talk, but actually does the work. It sees your screen, writes code, tests what it built, and fixes its own mistakes. In this article, I’ll break down exactly what I discovered testing this system, show you the real results, and explain how you can try it yourself for free.

Key Takeaways

• Alibaba’s Qwen 3.7 Plus is a multimodal agent model that sees your screen, uses your mouse and keyboard, writes code, and self-corrects—unlike standard chatbots that only give you text to copy-paste
• In an official demo, the agent worked 11+ hours continuously, wrote 10,000+ lines of code, made 1,000+ agent calls, and completed an entire software development lifecycle from documentation to deployment
• It can replicate applications from just a screenshot—no existing code required—and connect to live data sources like real stock market APIs
• Qwen 3.7 Plus costs approximately 6x less than Qwen 3.7 Max and offers 1 million tokens of context memory for handling complex, long-running tasks
• Unlike previous Alibaba models, this one is not open-source—you can only access it via API or cloud platforms, not download and run locally
• Alibaba is currently offering up to $5,000 in free credits (with $200 immediately available) for new cloud users with no minimum spending requirement

What Makes This Different From ChatGPT or Claude

Until now, AI tools have followed a familiar pattern: you ask, they answer. They might write you some code, explain a concept, or generate an image. But the actual doing? That was always on you. You copied, pasted, applied, troubleshooted.

Qwen 3.7 Plus represents a fundamentally different category. Alibaba calls it a “multimodal agent model”—and that technical label actually matters. This isn’t a chatbot. It’s a system with what I can only describe as digital eyes, hands, and a brain that loops continuously.

Here’s how Alibaba themselves describe the cycle: see, think, write, apply, and verify—all unified inside a single agent. The model looks at your screen, understands which buttons to press, writes the code, executes it, tests the results, and when it finds errors, debugs itself automatically. That closed loop is exactly what separates it from every conversational AI I’ve used before.

On the Terminal Bench benchmark, Qwen 3.7 Plus scores 70.3—competitive with major cloud providers, except those competitors charge you serious money while this system remains dramatically more accessible.

The 11-Hour Demo That Changed My Perspective

The most striking demonstration Alibaba provided—and the one that made me sit up and pay attention—involved what they call their “Hybrid Agent” system built on Qwen 3.7. They gave it a single instruction: build an English vocabulary learning application. Then they walked away.

What happened next is worth examining in detail. The agent worked for over 11 hours continuously and stably. It wrote more than 10,000 lines of code. It made over 1,000 agent calls. And it completed the entire software development lifecycle from start to finish.

But “entire lifecycle” isn’t marketing fluff here. I’m talking about:

• Writing its own design documents and planning what the application should include
• Writing the actual code and building the application
• Creating test scenarios
• Running those tests on-screen by itself
• Testing multiple scenarios simultaneously
• Updating documentation
• Releasing new versions of the application autonomously

Stop and consider what this represents. This is days of work for a small software team, completed in a single night while you sleep. This is precisely what I mean when I talk about “systems that work while you sleep.”

Rebuilding a Finance App From Just a Screenshot

The second demo I found even more impressive because there was no existing code at all—only a screenshot of an interface.

Here’s what the agent did step by step:

1. Entered its own application ecosystem and examined the interface
2. Understood which features were located where
3. Based on what it saw, wrote the application from scratch using Switch UI code
4. Connected to a real stock exchange API (Long Bridge) to pull live market data
5. Compiled and ran the application
6. Tested itself across 10 different functions autonomously

It verified live prices were actually updating, stocks were changing, search was functioning—all tests passed. The agent had reproduced a working financial application with live data, dark theme, and proper layout, from nothing but a screenshot and a command. No designer. No developer. Just an image and instructions.

There’s even a third demo where the model browsed art marketplace websites, clicked through options, and made purchases—going as far as buying items online on your behalf.

The Price Advantage Nobody’s Talking About

Here’s what caught my attention most: the cost. You’d assume this level of capability comes at a premium. The opposite is true.

Qwen 3.7 Plus costs approximately 6x less than Alibaba’s own Qwen 3.7 Max text model. On top of that, it carries 1 million tokens of context memory—massive capacity that lets it track complex, lengthy tasks without losing thread.

Its screen-reading capability—understanding which buttons to press—ranks leader position in industry tests. For context, Alibaba’s cloud platform currently offers up to $5,000 in credits for new users, with $200 available immediately with no minimum spending requirement. Though I should note: identity verification is required to complete setup, which carries its own considerations I leave entirely to your judgment.

How I’m Actually Using This (And How You Can Too)

I’ve been testing this through two main paths. The simplest entry point is chat.qwen.ai—create an account, select your preferred mode (thinking, fast response, or autonomous decision-making), and you can generate images, video, documents, software, or podcasts from the creative panel. The coder section lets you write code and, after connecting GitHub, automatically push to Git repositories.

For the full agent power I described, you’ll need Alibaba Cloud Model Studio, where you can call Qwen 3.7 Plus via API. This is more technical, but it unlocks the complete autonomous capability.

One important limitation: unlike previous Alibaba releases, this model is not open-source. You cannot download and run it on your own machine—only access it through internet-based APIs. This was a controversial decision given Alibaba’s history of open releases.

The model also integrates into existing tools you might already use—Cloud Code, Open Code, Qwen Code—so if you’re already running agent workflows, you can switch the underlying engine to Qwen.

What This Actually Means for Your Business

I keep saying this on my channel, and this model makes the line clearer than ever: AI won’t take your job. People who use AI will take your job. The difference is subtle but enormous.

Consider your situation: small business, app idea, no budget for developers, no coding knowledge. Previously, that idea stayed an idea. Now, you can describe it, and an agent can build it while you handle other priorities.

Here’s a concrete example from my own work. I set up a system to find major affiliate companies online, write blog posts for them, create social media content, and publish it. Over the last 12 months, that’s generated over $2,000 in passive income; lifetime, over $73,000. The concept—combining your ideas with AI execution at speed—is what matters. The specific implementation varies by person and knowledge.

If you run e-commerce, agents can research products, set up stores, track prices. If you create content, they can handle repetitive tasks. The key is your direction and judgment—the AI handles execution.

FAQ

Is Qwen 3.7 Plus really free to use?

Alibaba offers up to $5,000 in cloud credits for new users, with $200 available immediately without minimum spending requirements. The chat interface at chat.qwen.ai has its own free tier limits. For sustained API usage, you’ll eventually pay, but at roughly 6x lower cost than comparable models.

Can I run Qwen 3.7 Plus on my own computer?

No. Unlike previous Qwen releases, this model is not open-source. Alibaba made it available only through API and cloud platforms. You cannot download weights or run it locally.

How does this compare to Claude or GPT-4 for coding?

The critical difference is autonomy. Claude and GPT-4 generate code you must then implement, test, and debug yourself. Qwen 3.7 Plus executes the full loop: it sees your screen, writes code, runs it, detects errors, and fixes them—potentially for hours without human intervention. Benchmark scores are competitive, but the workflow difference is the real distinction.

Is this reliable enough for production use right now?

Honestly, probably not consistently. Alibaba’s demos ran in controlled environments. Real-world complexity—unexpected UI changes, API failures, edge cases—will challenge any agent. I view this as extraordinarily powerful for prototyping, learning, and accelerating development, but not yet a complete replacement for human oversight in critical systems.

Conclusion

Alibaba has released something genuinely significant. A model that sees your screen, writes code, tests itself, and works for 11 hours straight to complete applications—at a fraction of competitor pricing. The trajectory is unmistakable: AI is transitioning from talking to doing.

This isn’t magic. Demos are controlled, real life brings friction, and you’ll still need your own knowledge to direct these tools effectively. But the capability gap between idea and execution is narrowing fast. The question isn’t whether this technology will impact your work—it’s whether you’ll be among those learning to direct it.

What project or idea would you build with an agent that can work through the night while you sleep? That’s the question worth sitting with.

Watch the full video (in Turkish — English subtitles available):

Tools & Community

• TurkoLister — the AI listing tool I use to turn Amazon products into optimized eBay UK listings in about 60 seconds (from £4.99/month, £1 one-week trial).
• AI & E-commerce Community — my Turkish-speaking community ($19/month) with weekly live sessions.
• Subscribe on YouTube — new experiments every week.