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Baidu Inc.· @Baidu_Inc · X·· 2026-04-30AI 评分47
AI 导读

SBTI迷因测试的流行,揭示了低门槛参与的趋势正驱动AI应用开发工具的演进。Miaoda及其国际版MeDo是一个生成式AI驱动的无代码对话式应用开发平台,用户仅需通过自然语言描述,即可在几分钟内获得功能完整、可部署的应用,无需编写代码。平台背后由10多个专用AI代理协作,覆盖从需求分析到部署的全流程。传统上全球仅0.4%的人口是专业程序员,而该平台已助力创建超50万个商业应用,其中81%的创建者是非程序员,服务超1000万用户。这标志着开发方式从编写代码转向描述意图的根本性变革。

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http://x.com/i/article/2049739903970529280

Anyone Can Build Now, with MeDo

At the start of this month, a lighthearted trend unexpectedly went viral: SBTI, a meme-style personality quiz that spread rapidly across Chinese social media, driven by how easy it was for users to create, remix, and share their results.

It was entertaining, but it also pointed to something deeper. SBTI took off because it lowered the barrier to participation. Anyone could create something personal, recognizable, and instantly shareable. That same principle is now driving a new wave of AI applications, especially vibe coding tools.

What once required technical expertise can now start with a simple prompt.

This is the shift we've been watching closely. And it's exactly what we built Miaoda and MeDo for.

We first launched Miaoda in 2024 as a no-code, conversational application development platform powered by generative AI, able to deliver multi-agent collaboration and multi-tool invocation. As the platform evolved, we introduced Miaoda 2.0 in 2025, significantly expanding its capabilities and launching its international version, MeDo, bringing the same building experience to developers worldwide.

At its core, Miaoda and MeDo allow anyone to describe an application in natural language and receive a fully functional, deployable product in minutes, without writing a single line of code.

Behind the scenes, the platform orchestrates a team of 10+ specialized AI agents that work together across the full development process, from requirement analysis and code generation to testing and deployment.

Users are not just generating prototypes. They are building full-stack, production-ready applications that can be continuously refined through simple, iterative prompts.

🌍 Expanding Who Gets to Build

There are nearly 8 billion people in the world, but only around 30 million are professional programmers. That means just 0.4% of the global population has traditionally had the ability to turn ideas into working software.

For everyone else, the barriers have been clear: complex syntax, steep learning curves, and high development costs. Countless ideas never make it past the concept stage. By shifting creation from writing code to describing intent, we're opening the door for a much larger group of people to build digital tools, whether for business, education, or everyday problem-solving.

As of the end of 2025, Miaoda has powered the creation of 500K+ commercial apps across 200+ real-world scenarios. Notably, 81% of creators are non-programmers, and the apps they're building are already serving 10M+ users with nearly 100K daily users.

But who are the people that are actually building with it?

Take Sean, a UK-based developer with no technical background. He tried to teach himself game development through online tutorials but gave up when the complexity became too much. Last November, he discovered AI coding tools and found MeDo through a Google search. After his first session, he was hooked. Since then, he's built multiple games with high production quality and sophisticated mechanics — the kind of projects that would have previously required a professional development team.

Then there's Bubu, a medical escort service provider based in Guangzhou, China. Working on the front lines of that market, Bubu understood exactly what clients cared about most: a trustworthy, professional service with standardized processes and real-time updates on how appointments were progressing — especially for adult children living away from home who needed to stay informed about their parents' care.

Using Miaoda, Bubu was able to create and launch a fully functional WeChat mini-program built around those exact needs — clean interface, clear workflows, and a seamless delivery experience. After launch, it attracted 8 new clients through organic traffic alone, generating over RMB 7,000 in additional revenue and meaningfully boosting overall business income.

These examples point to a broader shift. When the barrier to building drops, more people experiment, and more ideas turn into real products.

🤝 AI for Good: Silent Guardian

Miaoda and MeDo are also enabling projects with a deeper purpose.

One example is Silent Guardian, an anti-fraud application designed for the hearing-impaired community.

Hearing-impaired individuals are often more vulnerable to scams due to communication barriers and limited access to real-time verification tools. Using the platform, a single creator was able to build a comprehensive solution that includes fraud education, evidence collection, and real-time alerts.

The app uses AI to convert speech into text and visual sign language cues, helping users better understand potential risks and respond in real time.

For communities like this one, the value of a tool isn't just what it builds — it's who finally gets to use it.

🚀 Building Momentum: From Individuals to Teams

As more users build with Miaoda and MeDo, we're seeing these tools move beyond individual use cases and into real-world environments.

That shift is already visible in our developer ecosystem. Recent Miaoda hackathons in Beijing have brought together creators experimenting with new ideas and applications, showing how quickly simple prompts can turn into functional products.

At the same time, this activity is expanding globally. The Build with MeDo Hackathon is now underway, inviting creators from around the world to push the boundaries of what can be built with no-code AI. Submissions are open through May 20, with top projects showcasing how quickly ideas can turn into fully functional applications.

As the community grows, we're also bringing these tools into more structured environments. This month, we introduced the MeDo Enterprise Version, designed to bring the same no-code, natural language development experience to teams. With a structured workspace for enterprises, teams, and individual members, it enables collaborative building while keeping data private and resources easy to manage.

Taken together, these developments point to a broader transition, from individual experimentation to collaborative, real-world deployment across teams and organizations.

🏁 What's Next: Baidu Create 2026

As more people gain the ability to build, the definition of a "developer" is starting to change.

Looking ahead, this shift will come into focus at Baidu Create 2026, our flagship developer conference in Beijing on May 13–14. For the first time, it will be held alongside the Yunzhi Summit (the company's annual AI Cloud event), bringing together developers, businesses, and industry leaders to explore the latest in AI and agents.

This year's theme, "Agents at Scale," reflects a clear direction for the industry, moving from early experimentation to real-world deployment, and from building tools to building with autonomous, agent-driven systems.

Here's a quick look at what else we've been working on this month across AI models and developer tools:

GenFlow 4.0 Launched at Baidu AI Day

- GenFlow 4.0 is a major upgrade to our general AI agent, with a fully revamped Office Agent at its core. With a single instruction, users can now invoke PPT, Excel, and Word agents in parallel, handling the full range of workplace tasks in one place.

- It is now deeply integrated with OpenClaw, and users can deploy it directly from the Baidu Drive PC or mobile app.

PaddleOCR Becomes the Most-Starred OCR Project on GitHub

- PaddleOCR has officially become the #1 most-starred OCR repository globally on GitHub, surpassing long-standing benchmarks including Google's Tesseract.

- Built on ERNIE foundation models, it offers a robust end-to-end pipeline for high-precision text recognition and structured document parsing across 110+ languages.

ERNIE-Image Open-Sourced for Developers

- We released ERNIE-Image, an open 8B parameter text-to-image model that delivers strong performance across instruction following, multilingual text rendering, and structured visual generation, while remaining lightweight enough to run on consumer hardware.

- ERNIE-Image comes in two versions: the SFT model optimized for stronger general quality in 50 inference steps, and ERNIE-Image-Turbo, optimized for speed and aesthetics in just 8 steps.

Famou-Agent 2.0 Sets a New SOTA on MLE-Bench

- Famou-Agent 2.0 has once again ranked #1 on MLE-Bench, setting a new SOTA for the second time since it first topped the benchmark last October. Famou-Agent is a general-purpose multi-agent framework trusted by thousands of enterprises across manufacturing, finance, transportation, and beyond to tackle complex real-world challenges.

- The 2.0 upgrade brings key improvements across evolution strategies, long-horizon memory, and infrastructure. A full reveal is coming at Baidu Create next month — stay tuned.

Have a question about building with MeDo, or something you'd love us to cover next? Leave a comment or DM us!

Until our next roundup, keep up with our latest AI developments and innovations by following us on LinkedIn and X.

来源:Baidu Inc. · x.com