AI-Native Development Hackathon

Ready to be part of it?

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Join a one-day AI-Native Development Hackathon, co-created with Microsoft and GitHub, for architects, product owners, developers, and DevOps & QE teams building AI-native systems.

We’ll provide the use case, GitHub environment, and Copilot license — you only need your laptop.

Good coffee, lunch, and space to build, learn, and exchange ideas.

Limited seats — registration closes on June 4th. Secure your seat now.

Secure your seat
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Microsoft Office
Walter-Gropius-Straße 5
80807 Munich
June 10, 2026
9:00 AM – 5:00 PM CET

Meet your speakers

Get practical insights from Julia Kordick, Software Global Black Belt at Microsoft, alongside Vedran Krizic and Robin Elger from PRODYNA. Julia brings hands-on experience helping large-scale organizations accelerate development workflows through pragmatic, end-to-end platform engineering. Vedran contributes deep expertise in .NET, Node.js, and various frontend frameworks, while Robin adds a strategic perspective on Cloud and AI topics. Together, they will share clear, real-world insights across the full AI-native lifecycle — from architecture and product thinking to implementation and execution.
Julia Kordick
A Software Global Black Belt at Microsoft, helping large-scale organizations accelerate dev workflows through pragmatic, end-to-end platform engineering.
Vedran Krizic
A full-stack developer with experience in .NET, Node.js, and frontend frameworks, who focuses on clean code and knowledge sharing to ensure high-quality results.
Robin Elger
Experienced Project Manager, Product Owner and Architect in various industries. Focused on Cloud and AI topics. Strives to make projects a success and envision people.

Your journey through the event

We are moving beyond "AI-assisted" tools toward an AI-native operating model where intelligence is a core architectural component.

This one-day, high-intensity hackathon is a hands-on opportunity for cross-functional teams to explore the discipline of Spec-Driven Development (SDD).

You will move past ad-hoc "vibe coding" and experience a systematic, artifact-first approach that ensures AI-generated code meets production-grade standards.
Secure your seat
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1
9:00 AM
Kickoff: The AI-Native Shift
All Roles: Introduction to the agentic AI mindset and GitHub Copilot's native primitives (instructions, agents, prompts, skills, handoffs).
2
10:00 AM
Sprint 1: The Guardrails
Architects: Encode the project DNA-stack, security, and engineering mandates.
3
11:00 AM
Coffee Break
4
11:15 AM
Sprint 2: The Specification
Product Owners lead: Translate the business problem into an implementation-ready specification. Architects: Review guardrail compliance. Developers: Assess technical feasibility. QE: Draft acceptance criteria.
5
12:00 PM
Networking Lunch
6
13:00 PM
Sprint 3: The Blueprint
Developers lead: Break the specification into an architectural plan and agent-ready tasks. Architects: Validate architecture. Product Owners: Prioritize tasks. QE: Define validation checkpoints for the build.
7
14:00 PM
Sprint 4a: The Build
All Roles: Hand off tasks to agents for implementation. DevOps & QE enforce safety boundaries, validation checkpoints, and review workflows.
8
15:00 PM
Coffee Break
9
15:15 PM
Sprint 4b: The Build
All Roles: Continue the implementation loop. Refine agent behavior, resolve validation checkpoints, and iterate toward a working solution.
10
16:00 PM
Show & Tell
All Roles: Live demo of the service and a walkthrough of the primitives your team built — from instructions to agents to skills.
11
16:45 PM
Closing & Insights
All Roles: Lessons learned, patterns discovered, and recognition of high-fidelity implementations.
12
17:00 PM
End

Production-Ready AI

By the end of the day, you’ll take a project from concept to a verified, working local service and see how AI-native engineering, when combined with rigorous discipline, enables faster, safer, and more scalable development. You’ll collaborate through a structured Artifact Tree, guiding agentic workflows with precision, where each role owns a critical part of the engineering lifecycle.
Architects
Define the Constitution to enforce architectural guardrails, security, and mandatory quality standards.
Product Owners
Shape the Spec to translate business requirements into high-precision technical intent.
Developers
Orchestrate the Plan, engineering the "Skills" and context required for agents to execute implementation tasks.
DevOps & QE
Build the Reliability loops to validate AI output and ensure spec-fidelity on local environments.

Secure your seat

Join an AI-Native Development Hackathon: Engineering Enterprise Systems with GitHub Copilot & Agentic AI in Munich. Secure your seat now.