Ivan Burazin
AX is the only Experience that Matters
#1about 3 minutes
The inevitable rise of AI agents in software development
AI agents are becoming the primary creators of software, making tools designed solely for humans increasingly obsolete.
#2about 1 minute
Defining the core components of an AI agent
An AI agent is defined as the intersection of a model for intelligence, a user for direction, and tooling for execution.
#3about 4 minutes
Key principles of a good agent experience
A strong agent experience (AX) is built on seamless authorization, agent-readable documentation, and API-first design.
#4about 2 minutes
Why true agent experience requires full autonomy
The concept of agent experience is evolved to include full autonomy, requiring tools to function without any human intervention.
#5about 6 minutes
Building agent-native runtimes from first principles
Daytona provides fast, stateful, and long-running serverless runtimes with machine-native interfaces designed specifically for AI agents.
#6about 6 minutes
New primitives enabling agent autonomy and parallel execution
Novel capabilities like a declarative image builder, shared volumes, and parallel execution allow agents to solve complex problems autonomously.
#7about 3 minutes
The massive business opportunity in building for agents
The rapid growth of companies like Daytona demonstrates the immense market demand for infrastructure and tools built for an agent-native future.
Related jobs
Jobs that call for the skills explored in this talk.
Matching moments
15:53 MIN
The shift from developer experience to AI experience
Postgres in the Age of AI (and Devin)
53:23 MIN
Introducing agent experience and building trust in AI
WeAreDevelopers LIVE - the weekly developer show with Chris Heilmann and Daniel Cranney
28:16 MIN
The conceptual shift in modern AI development
On a Secret Mission: Developing AI Agents
05:00 MIN
The developer's role shifts from syntax to domain expertise
Transforming Software Development: The Role of AI and Developer Tools
38:07 MIN
Exploring the future of AI beyond simple code generation
Innovating Developer Tools with AI: Insights from GitHub Next
31:28 MIN
Designing cooperative and controllable AI agents for developers
Innovating Developer Tools with AI: Insights from GitHub Next
12:10 MIN
Why AI is a copilot, not an autopilot for developers
Coffee With Developers - Kyle Daigle, COO of GitHub
00:05 MIN
The core challenge of scaling AI agent communication
Event-Driven Architecture: Breaking Conversational Barriers with Distributed AI Agents
Featured Partners
Related Videos
Agents for the Sake of Happiness
Thomas Dohmke
Reimagining the Developer Experience: The AI Advantage
Anu Bharadwaj & Tobias Schlottke
Beyond the IDE: A new era of agent collaboration
Ryan J. Salva
Beyond Chatbots: How to build Agentic AI systems
Philipp Schmid
The AI-Ready Stack: Rethinking the Engineering Org of the Future
Jan Oberhauser, Mirko Novakovic, Alex Laubscher & Keno Dreßel
Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact
Oliver Will
Supercharge Agentic AI Apps: A DevEx-Driven Approach to Cloud-Native Scaffolding
Daniel Oh
You are not an AI developer
Zan Markan
From learning to earning
Jobs that call for the skills explored in this talk.





Artificial Intelligence (AI), Agents & Copilot Architect
Techem Messtechnik GmbH
Remote
€52K
API
Azure
Redis
+5



