Döllner examines how AI-generated code is already reshaping software engineering at the HPI — and what it means when the machines doing the programming are themselves built from software.

Bohnet and Wolff debate the real near-term impact of generative AI on software teams: where it already adds measurable value, where the hype outruns the evidence, and how engineering leaders should plan around it.

Linzmeier introduces the 4SDV framework: how TTTech Auto approaches the architectural and process challenges of building software-defined vehicles at series production scale.

Anhalt makes the case that automotive software can no longer be treated as a subsystem — it is the product. She outlines what Elektrobit’s clients are doing to actually act on that conviction.

Baum presents Roland Berger’s analysis of how OEMs are restructuring their software investments under cost pressure — and which bets are paying off.

Drawing on Bosch’s experience, Burger and Meyer zu Driehausen show how removing bottlenecks and building continuous flow into software delivery teams produces measurable productivity gains.

Herz describes how Hella/Forvia is moving from project-driven delivery to a product-oriented model — and what that shift looks like in practice inside a tier-1 automotive supplier.

Yoon explains the Autobrains approach to ADAS: using self-supervised learning trained on real-world data, reducing reliance on manually labeled datasets and simulation environments.