Niels Bosma
Founder@Ivy.app
Stockholm, Sweden
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Meet Niels, a serial founder with two successful exits who has been building companies and empowering innovators throughout the Nordic tech ecosystem. As the founder of Ivy Interactive, he's creating an open-source .NET framework for building internal applications that delivers all the benefits of no-code without its limitations—specifically designed to eliminate security issues with LLM-generated software. He knows firsthand the challenges of transforming vision into viable products and sustainable businesses, bringing practical insights from years of building, scaling, and successfully exiting ventures.
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Ivy: AI-powered .NET framework to build enterprise apps in minutes
Why waste months coding internal tools from scratch? Meet Ivy, the new open-source .NET framework that supercharges your workflow, generating secure, production-ready enterprise apps in minutes, not months.
In this action-packed session, we’ll dive into how Ivy redefines low-code for .NET developers, delivering the speed of no-code platforms without sacrificing flexibility or security. Watch live demos of transforming databases into fully functional back-office apps, auto-generating robust database models with AI, and deploying to Azure with a single command, all while keeping your codebase clean and maintainable.
Whether you’re a battle-hardened .NET pro tired of boilerplate or eager to harness AI without the risks of LLM-generated chaos, Ivy lets you ship 10x faster while staying in full control. Join us to revolutionize how you build and deploy .NET applications!
From AI Prototype to Production: Shipping LLM-Generated Code Safely
You're already using ChatGPT, Copilot, and Claude to write code. But how do you deploy it to production without introducing vulnerabilities?
Research shows 45% of AI-generated code contains security flaws. As a developer, you're caught between two demands: ship faster with AI tools, and maintain enterprise security standards. This session shows you how to do both.
We'll go deep on the technical challenges:
- AI-generated code patterns: What works in production, what creates security holes?
- Building secure AI workflows: Database migrations, authentication providers, API design
- From prototype to production: Architecture that actually meets enterprise requirements
- Live demos: Watch AI prototypes become secure deployments in minutes, not weeks
Based on real-world case studies and hands-on experience. You'll walk away with concrete techniques to leverage AI tools without compromising security, and practical patterns you can implement on Monday.
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