Security is a permanent priority that requires a zero trust mindset and developer ownership across the entire software development lifecycle.
AI will augment rather than replace developer jobs, with the most exciting potential lying in personalizing systems beyond generic queries.
AI monetization comes from integrating it as a commodity into existing products to drive innovation, similar to previous mobile and cloud transitions.
Techniques like Retrieval-Augmented Generation (RAG) and running local models allow for the use of private data without compromising security.
The AI landscape will feature a healthy coexistence of open and closed models, preventing a monopoly and promoting transparency and innovation.
The perceived shortage of developers is actually a challenge of acquiring new talent and the constant need for existing developers to learn new technologies.
Companies must shift to a "learn-it-all" culture, break down silos, and empower developers who are now at the core of business strategy.
32:46Tomislav Tipurić, Christian Ertler, Marc Binder & Karin Janina Schweizer
24:14Chris Wysopal, Helmut Reisinger & Johannes Steger
41:06Pascal Reddig, TJ Griffiths, Fabian Schmidt, Oliver Winzenried & Matthias Niehoff & Mirko Ross
47:35Laurie Voss, Rey Bango, Hannah Foxwell, Rizel Scarlett & Thomas Steiner
28:38Daniel Tao, Kathrin Schwan, Faris Haddad & Florian Schaudel
26:25Stephan Gillich
41:06Lars Gentsch
28:09Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel
Jobs that call for the skills explored in this talk.
webLyzard
Vienna, Austria