Baidu has stepped firmly into the vibe coding space: those platforms where users describe what they want and an AI system generates a complete application almost like magic. Its proposal is called MeDo (medo.dev), and it combines an aggressive pricing model with agent-based workflows to build full web apps from natural language.
The idea is clear: minimize the friction between an idea and a working product, both for people with no programming background and for technical teams that want to accelerate prototyping.
A truly full-stack platform driven by natural language
Unlike many code generators that focus on a single part of the stack, MeDo presents itself as a truly full-stack platform. Starting from natural language instructions, the tool can orchestrate:
- Frontend: layout, navigation, components, typography and colors.
- Backend: business logic, endpoints and internal APIs.
- Strongly typed database schemas.
- Integration with external APIs and services (payments, analytics, etc.).
- Plug-and-play auth, payments and analytics layers.
- A plug-in system to extend capabilities without rebuilding the entire app.
All of this is powered by agent-based workflows: different AI “roles” collaborate (for example, one focused on UI, one on data models, one on integrations) to transform a text description into a functioning application.
From prompt to full online store for just a few credits
One of the most striking aspects of MeDo isn’t just the technology, but the real cost per project.
In early user tests that have been shared publicly, a full online store was created:
including payments, navigation, product pages, coherent visual design and a structure ready to deploy. The approximate generation cost was around 40 credits.
In another example, a complete analytics dashboard was built with:
- Clean charts.
- Interactive filters.
- A well-organized layout.
- All elements fully editable (fonts, colors, sizes) in real time.
That dashboard came in at about 35 credits.
Both examples illustrate MeDo’s positioning well: it’s not about “generating a bit of code”, but about building full applications with a very aggressive cost-to-output ratio.
A credit model designed to “play seriously”
MeDo uses a credit system, which you spend based on the complexity of what you ask the platform to do. The commercial reference being highlighted is:
- 20-dollar plan → 2,000 credits, enough to build several full apps without micromanaging every request.
- 100 free credits per day, letting users experiment, iterate small changes or run tests at no extra cost.
- Launch promo: first month at 5 dollars before the end of November, lowering the barrier to entry even more.
In practice, with costs of 30–40 credits per reasonably complex app, an individual or small business can prototype and deploy several projects within a single billing cycle.
A vibe-coding approach very focused on experience
There are already plenty of “AI-assisted coding” tools and app generators that work from text or wireframes. MeDo aligns with that trend, but with a few nuances:
- The platform is built so users talk through their idea rather than filling out forms.
- It combines that conversation with an intuitive drag-and-drop interface, so you can tweak details without fighting with code.
- Every generated element is clickable and editable: from a button color to the layout of an entire section, everything can be adjusted without breaking the underlying logic the AI has assembled.
- The workflow is designed so the AI doesn’t just generate once, but makes it natural to iterate over what already exists: “make the chart larger”, “change the header style”, “add a country filter”, and so on.
In that sense, MeDo is trying to position itself squarely in what many now call vibe coding: building software through a blend of intent, conversation and light visual edits, rather than from raw source code.
Multi-agent: from idea to app in minutes
The technical heart of MeDo lies in collaboration between multiple AI agents. Each one takes on a role within the development process:
- One agent might focus on interpreting functional requirements.
- Another could handle translating them into data structures and models.
- Another focuses on user experience and layout.
- Yet another wires up APIs, payments or third-party services.
This internal orchestration means users don’t have to think about architectures, design patterns or implementation details. The platform’s promise is to cut what used to be days or weeks of work down to minutes of interaction.
Integrations and use cases: more than just “toys”
Although the marketing message emphasizes ease of use, the examples shown so far point to serious use cases:
- E-commerce with real payment flows.
- Analytics dashboards with filters, visualizations and potential connections to data sources.
- Apps with user authentication, opening the door to simple SaaS products, internal business tools, customer portals, and more.
- Automations based on API integrations and third-party services, aimed at completing business workflows without hand-coding integrations.
The platform also builds on Baidu’s experience in AI infrastructure and cloud services, a factor that can be decisive for companies looking for reliability and scalability beyond the prototype stage.
Pros and limitations of Baidu’s proposal
Like any next-gen tool, MeDo arrives with both strengths and open questions.
Clear advantages include:
- Prototyping speed: it turns ideas into working apps extremely quickly.
- Controlled costs thanks to the credit model and observed real-world usage examples.
- Lower technical barrier: non-developers can build useful apps with the help of AI.
- Visual flexibility: the ability to adjust UI elements in real time without touching code is key to refining the product.
But there are also limits and unanswered questions:
- The no-code, AI-driven approach may not yet cover very specific business cases or scenarios with strict regulatory requirements.
- For engineering teams, MeDo fits very well in MVP and prototyping phases, but many projects will still require manual control over code, performance and advanced security.
- As with other platforms, it remains to be seen how portable the generated code will be, and how easily it can be migrated or maintained outside the MeDo environment.
In any case, a player the size of Baidu entering this space reinforces the idea that natural-language-driven software development is here to stay.
Frequently asked questions about MeDo and vibe coding
What exactly is MeDo, and how is it different from other AI app generators?
MeDo is a Baidu platform for building applications from natural language, combining AI agents with a visual editor. Unlike more limited tools, it is designed to generate frontend, backend, database, authentication, payments and API integrations all in a single flow.
How many apps can you create with MeDo’s 20-dollar plan?
The 20-dollar plan includes 2,000 credits. Based on the shared examples (an online store for around 40 credits and an analytics dashboard for about 35), it’s reasonable to expect several full applications per billing cycle, plus iterations and adjustments, especially if you also take advantage of the 100 free daily credits.
Is MeDo a good option for people with no coding skills?
Yes. The platform is designed specifically for users who want to build apps without writing code. The combination of natural-language conversation and a visual editor means you can make progress without knowing frameworks, databases or infrastructure details. At the same time, more technical users can get extra value by fine-tuning requirements and flows.
What kinds of projects are the best fit for MeDo right now?
At this stage, MeDo is a very strong fit for MVPs, rapid prototypes, internal tools, dashboards, small online stores and niche apps where creation speed and fast iteration matter more than deep control over the code. For projects with extreme performance, compliance or legacy-integration requirements, each case will still need careful evaluation.
