AI agents are becoming the primary creators of software, making tools designed solely for humans increasingly obsolete.
An AI agent is defined as the intersection of a model for intelligence, a user for direction, and tooling for execution.
A strong agent experience (AX) is built on seamless authorization, agent-readable documentation, and API-first design.
The concept of agent experience is evolved to include full autonomy, requiring tools to function without any human intervention.
Daytona provides fast, stateful, and long-running serverless runtimes with machine-native interfaces designed specifically for AI agents.
Novel capabilities like a declarative image builder, shared volumes, and parallel execution allow agents to solve complex problems autonomously.
The rapid growth of companies like Daytona demonstrates the immense market demand for infrastructure and tools built for an agent-native future.
39:11Thomas Dohmke
43:05Kenneth Auchenberg & Christian Heilmann
27:43Anu Bharadwaj & Tobias Schlottke
27:12Ryan J. Salva
24:22Philipp Schmid
23:33Oliver Will
28:09Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel
31:02Daniel Oh
Jobs that call for the skills explored in this talk.
Wolters Kluwer
Alphen aan den Rijn, Netherlands
autonomous-teaming
München, Germany
United Software Group, Inc.
Alpharetta, United States of America
Fmr LLC
Westlake, United States of America
