MVP with AI in One Day? Hype or Reality — Let’s Find Out

Join us for a one-day, hands-on Hackathon focused on building and exploring software with AI agents — also hyped as “Vibe Coding.”

This event is designed for developers and software practitioners who want to practically implement and test real software ideas using AI tools and autonomous workflows. We’ll push the limits of AI-assisted coding with a bold challenge:
Build an MVP in one day and pitch it in the evening.

Can it be done?

Whether you code in Python, JavaScript, or any other language — all are welcome. Just bring your laptop, your skills, and your curiosity. Wi-Fi, food, and drinks are provided.

This is not a beginner session — it’s for people who know how to ship.
We don’t want to scare you away — but this is not a coding bootcamp.


🗓️ Event Details

📅 Date: 26. Juli 2025
🕘 Time: 09:00–18:00
📍 Location: SRH Gründerzentrum, Heidelberg, Kürfurstenanlage 52

🛠️ Bring your own laptop
🌐 Wi-Fi and great food included

🤖Limited access to proprietary LLMs provided — bring your own license if you have one
🎯 For developers with programming experience — not a beginner workshop

Apply now to take part — no walk-ins!
We're curating a focused group of motivated builders.

 What We Expect From You:

  • You have coding experience — from university (e.g., Master’s students), hobby projects, or industry work
  • You’re comfortable using an IDE and the terminal
  • You’re ready to build, collaborate, and explore the edges of AI-assisted software development

Probably not for you if:

  • You have no coding experience
  • You're unfamiliar with coding tools like an IDE or terminal

Who Is This Hackathon For?

To help you better understand whether this hackathon is right for you, we've created four typical participant profiles.

We’re looking for people with a technical foundation, hands-on curiosity, and a drive to build — and that can take many forms.
If you see yourself in one (or more) of the following roles, you’re in the right place.

We don’t want to scare anyone off — but this is not a coding bootcamp.

You work with software, data, or infrastructure — whether in application development, machine learning, cloud systems, or APIs.
You have practical experience (e.g. with APIs, frameworks, deployment, or prompt engineering) and want to apply or test GenAI in a hands-on way.
Whether you’re building your own project, integrating tools, or making LLMs production-ready: this is your space for deep technical work and fresh insights.

You think in use cases, not just code.
Whether you're a technical product manager, UX-oriented specialist, or team member with experience in data, automation, or analysis — you want to understand how GenAI can be applied meaningfully.
You bring implementation or industry knowledge and enjoy working in interdisciplinary teams.
Even if you’re not actively coding, you're familiar with technical tools and workflows and ready to contribute.

You're still in training, at university, or transitioning from a related field — but you've already had some exposure to coding, data, or tech tools.
You’re eager to gain hands-on experience and co-create new solutions with others.
Whether you're writing code or contributing through prompting, testing, or creative ideation:
If you’re technically curious, motivated, and ready to get involved, you’re welcome.

You're building a product or startup, have a technical background, and want to explore how GenAI can help — strategically or practically.
Whether you're refining a prototype, validating a new feature, or experimenting with LLMs in your context — this hackathon gives you space to test fast, get feedback, and connect with other builders.
Early-stage ideas and exploratory approaches are welcome too.

 What to Expect at the Event:

  • Dive into real-world coding tasks powered by AI agents
  • Prototype and test software ideas, hands-on
  • Team up with others to solve one of our proposed challenges — or bring your own idea and build it
  • Collaborate with others who have coding backgrounds
  • Present and discuss your results in a casual evening session

Example Challenges

Teams can choose one of these challenges or propose their own during the application process.

Challenge:
Build a time tracking app or agent for companies, schools, or institutions. The system should allow employees, students, or staff to log working hours easily and securely, in compliance with new legal requirements (e.g. recent court ruling in Bremen, Germany).

Optional features:

  • Integration with existing HR or school systems
  • Export of timesheets for payroll or reports
  • Notifications for incomplete logs

Challenge:
Develop a basic Trello-like project management tool or agent that helps internal teams structure tasks, boards, and priorities.

Optional add-on:
Integrate a Project Handoff Intelligence feature: an AI-driven module that automatically generates context-rich project handoff packages, including:

  • Key decision history
  • Video summaries of project status
  • Stakeholder relationship maps

Challenge:
Create an app or agent that collects shared video links (e.g. TikTok, YouTube) and news articles, then automatically generates short text summaries.

Optional features:

  • Combine multiple inputs into a timeline or digest
  • Allow sharing of summary collections via link or export

Sentiment or topic tagging

Challenge:
Build a simple Python-based trivia app for the community. It should:

  • Support question categories
  • Track scores

Be playable in a terminal or as a minimal web app

Challenge:
Create a web app where landowners can register their fruit trees or bushes that they cannot harvest themselves (due to time, health, etc.).

Core features:

  • Register tree/bush location (with map)
  • Specify harvest period
  • Set harvest share (e.g. 30% owner / 70% harvester)
  • Rate users (reliability, cleanliness, plant care, match with description)

Challenge:
Set up a local pipeline that replaces at least three commercial AI services with open-source or local tools.

Example pipeline:

  • Download a YouTube video
  • Transcribe or translate it (e.g. English → German)
  • Create a podcast-ready audio file + written summary
     

Goal:
Demonstrate that common AI workflows can be done without proprietary cloud services.

Application
for the hackathon