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.
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Jobs that call for the skills explored in this talk.
AI Engineer Workflows & Agents (e.g. with Langdock, n8n & make)
WaveSix Labs GmbH
Intermediate
GIT
JSON
GraphQL
Microsoft Office
AI Agent Engineer (Machine Learning Engineer)
Zendesk
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Natural Language Processing