EP12: [HYBRID] AI in Software development lifecycle

AI-Innovators is Munich’s best meetup group dedicated to exploring AI with a special focus on software development automation. Delve into how AI technologies are transforming business growth and engagement through streamlined software development processes. This event promises enlightening discussions on the latest AI trends, expert case studies, and live demos of AI tools. Ideal for software engineers and POs eager to enhance their strategies and tech enthusiasts fascinated by AI’s business impact, AI-Innovators offers a unique platform to learn, network, and uncover new opportunities in AI-enhanced development. Join us to discover the cutting-edge intersection of AI and Software development automation."

After the success of our previous episode, we are thrilled to continue the momentum and facilitate engaging discussions on new technology trends and their practical applications. Whether you are a seasoned professional in software development or someone curious about the role of AI in society, this event promises to broaden your knowledge and spark inspiration for future projects. Don't miss out on this opportunity to network with like-minded individuals and stay ahead in the dynamic world of artificial intelligence and web technology.

Session 1: Building an LLM-Powered Anti-Tracking System in the Browser: A Candid Case Study
This talk presents a candid case study of building and deploying an LLM-powered anti-tracking system as a browser extension. It walks through the system end to end—from model adaptation and semantic analysis to running real-time inference under strict browser performance constraints—and highlights how the design changed once it had to work in practice.
The session covers how the architecture, data pipeline, and modeling choices evolved to analyze network requests and page content, aiming to reduce false positives while still detecting increasingly sophisticated tracking behavior. It also explores the practical challenges of in-browser LLM inference, including latency, resource limits, and debugging model behavior outside a controlled research environment.
Along the way, the speaker shares how a vibe-coding approach shaped development, using LLMs as collaborators for rapid prototyping and early discovery of design constraints. The talk focuses on concrete, experience-driven lessons—what worked, what broke, and what would be done differently—along with code snippets and a follow-up tutorial for deeper exploration.

### Event Details:

• Date: 19.01.2026
• Time: 18:00
• Location: Luise-Ullrich-Straße 14, 80336 München

Note: The Event will also happen online. Those who will not be able to join us in person can join under the link:
https://tinyurl.com/aiinnovators-12

We’re really excited about this event and can’t wait to share these insights with you. Whether you’re a developer, project manager, or a tech enthusiast, there’s something here for everyone. Come join us and learn how the latest advancements in AI can make your work easier and more efficient.
Looking forward to seeing you there!
Cold beers and delicious food are waiting for you!

Please note, we will start the online session at 18:15.