AttraX Tsinghua Outlier OpenClaw Hackathon x Enter Pro by Converge AI

Bringing AI-Native Product Building to the Next Generation of Founders

April 1, 2026
Tsinghua University, Beijing
AttraX Tsinghua Outlier OpenClaw Hackathon workshop
Students and young builders from over 30 countries joined the AI development workshop at Tsinghua University in Beijing.

In early April 2026, Converge AI partnered with AttraX and leading university communities to host a hands-on AI development workshop at Tsinghua University in Beijing.

The event brought together more than 80 students and young builders representing over 30 countries, creating one of the most international AI-focused student workshops held in China's university ecosystem. Participants included students from Tsinghua University, Peking University, and other globally recognized institutions. The workshop was organized as part of the China AI Ecosystem Workshop in collaboration with Tsinghua SEM's CEMS Club, Yenching Academy of Peking University, PKU Innovation Society, and other innovation communities.

As the AI development partner for the event, Enter Pro by Converge AI introduced participants to a new way of building software: AI-native product development powered by autonomous coding agents.

What Is Vibe Coding?

Vibe Coding has quickly become one of the most discussed concepts in AI-powered software development.

At its core, Vibe Coding removes many of the traditional barriers associated with building software. Instead of learning programming languages, configuring infrastructure, and managing deployment pipelines, builders describe an idea in natural language while AI agents handle much of the implementation process.

Using Enter Pro, participants were able to:

  • Describe product ideas through conversation
  • Generate interfaces and application logic
  • Build functional web applications
  • Deploy working products within minutes
  • Iterate rapidly using AI-powered workflows

This approach allows founders, students, designers, operators, and creators to focus on problem solving rather than technical complexity.

From Idea to Product in Under 20 Minutes

The workshop challenged participants with a simple goal:

Build something real.

Within less than an hour, students with little or no traditional software engineering experience were creating functional applications using Enter Pro.

Examples included:

Auto-Account

An AI-powered accounting platform featuring invoice OCR, bank reconciliation workflows, and automated profit-and-loss reporting.

China–US Trade Analysis

A real-time dashboard visualizing bilateral trade data and economic trends between China and the United States.

Admission Prep Optimizer

A platform helping students generate application materials, personal statements, CVs, and interview preparation content.

Rap Ranks

An AI-powered music discovery platform tracking artists, genres, and audience trends.

Mandarin Flow

An intelligent language-learning application combining AI tutoring and spaced repetition techniques.

Asia-West Literary Bridge

A research platform exploring literary and cultural connections between Asian and Western markets.

These projects demonstrated how AI development agents are expanding access to software creation beyond traditional engineering backgrounds.

Workshop participants building AI-native products with Enter Pro
Participants shipped functional applications during the Tsinghua workshop using Enter Pro's AI-native development workflows.

What We Learned

One statistic stood out.

More than 32% of participants successfully shipped genuinely functional products during the workshop. These projects featured real interfaces, practical use cases, and working functionality built within approximately twenty minutes.

The most important outcome, however, was not the applications themselves.

It was the shift in mindset.

Many participants arrived believing software development required years of technical training. By the end of the workshop, they had already launched products of their own.

The barrier between idea and execution had become dramatically smaller.

Why This Matters for the Future of AI-Native Entrepreneurship

The rise of AI coding agents is changing who can build software.

Historically, launching a product required engineering teams, technical expertise, and significant development resources. Today, AI-native platforms are enabling founders, operators, marketers, researchers, and students to become builders.

This trend is creating a new generation of AI-native entrepreneurs who can move directly from concept to execution.

Events like the Tsinghua Workshop provide a glimpse into that future.

Tsinghua AI ecosystem workshop community
The Tsinghua workshop brought together international students exploring AI-native entrepreneurship.

Enter Pro: AI Development Infrastructure for Modern Builders

Enter Pro is Converge AI's AI-native development platform designed to help founders, creators, students, and teams transform ideas into production-ready websites & applications.

With AI coding agents, visual editing capabilities, deployment workflows, and collaborative development tools, Enter Pro enables users to build software faster while reducing technical complexity.

Whether creating prototypes, internal tools, startups, educational projects, or commercial applications, builders can move from idea to launch in dramatically less time.

Building the Next Generation of Institutional Intelligence

At Converge AI, we believe the future of software development is not just about generating code.

It is about empowering people to create.

The Tsinghua workshop demonstrated what becomes possible when AI agents, human creativity, and accessible development infrastructure come together.

As we continue supporting builders, universities, hackathons, and innovation communities around the world, our mission remains the same: to help more people turn ideas into reality.

Enter

The AI dev agent that takes you from idea all the way to a production-ready app — design, build, deploy and scale in one place.

Try Enter Pro

Press Contacts

Eric Zhang

Converge AI

ericz@converge.ai