FLAGSHIP WEEK

WORLD TOUR

Kaspar von Grünberg

Author

About

About

Kaspar von Grünberg

Kaspar von Grünberg

Kaspar von Grünberg is an early pioneer in platform engineering. Over the last decade he has been building Internal Developer Platforms (IDPs) at scale, and is responsible for coining the term IDP. A regular speaker on the topic of platform engineering, Kaspar is the author of several associated defining articles.

Kaspar
at PlatformCon

Roundtable

LiveDay LDN

60

mins

Agentic development in regulated industries: Governance, risk, and the path forward

Roundtable

LiveDay NYC

60

mins

Managing cost in the age of AI

Roundtable

LiveDay NYC

60

mins

Designing the Agentic Development Platform

Roundtable

LiveDay LDN

60

mins

Designing the Agentic Development Platform

Roundtable

LiveDay LDN

60

mins

Benchmarking how well your platform supports autonomous AI agents

Panel

Virtual

Jun 22, 2026

60

mins

PlatformCon 2026: Kickoff

Talk

LiveDay LDN

30

mins

Thinking in platforms: Thrive in the agentic era

Talk

On-demand

Virtual

15

mins

Paths to outcome: A new model to architect platforms

Kaspar introduces the Paths to Outcome model, a new abstract model for reasoning about platform architecture that gives teams a shared vocabulary to describe what a platform is, what it's made of, and where the real design decisions sit.

Talk

On-demand

Virtual

15

mins

Architecting Agentic Development Platforms

Kaspar von Grünberg and Ajay Chankramat walk through the reference architecture of an Agentic Development Platform (ADP), covering the three layers that enable agents to do real work alongside developers, safely and at enterprise scale.

Talk

LiveDay NYC

30

mins

Thinking in platforms: Thrive in the agentic era

Platform engineers are at the center of the enterprise AI shift, but only if the platform is ready for it.
In this PlatformCon 2026 talk, Luca Galante and Kaspar von Grünberg introduce the Agentic Development Platform (ADP): a reference architecture built around three planes; tooling, path specifications, and agent infrastructure, that gives AI agents the structure they need to actually deliver value in production.