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World Congress 2025 • Aug 20, 2025 • Session details

AX is the only Experience that Matters

Ivan Burazin

Is your SaaS ready for autonomous AI? Agents are replacing human developers as the primary users of software tools, making Agent Experience (AX) the only metric that matters.

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#1 about 3 min

The exponential rise of autonomous software agents

The growing number of software agents outnumbering humans requires a fundamental shift beyond traditional deterministic web applications.

#2 about 2 min

Defining the core components of an ai agent

Autonomous software functions strictly at the intersection of intelligence models, user prompts, and accessible digital tooling.

#3 about 2 min

Understanding the core principles of agent experience

Simplifying digital environments enables machines to easily access, comprehend, and operate within systems to achieve user-defined goals.

#4 about 3 min

Exploring real-world examples of seamless agent tooling

Implementing authentication layers and machine-readable text files improves the ability of agents to navigate complex api documentation securely.

#5 about 3 min

Designing software systems for complete agent autonomy

Removing fallback requirements ensures tools remain functional even when no human is available to troubleshoot errors or click buttons.

#6 about 4 min

Building fast and stateful agent native runtimes

Creating custom bare-metal sandboxes solves the unique requirement for agent environments that spin up instantly but run stateful tasks indefinitely.

#7 about 2 min

Implementing machine native interfaces for autonomous tasks

Replacing human user interface components with headless terminals and language servers allows optimal machine-to-machine communication.

#8 about 3 min

Developing new infrastructure primitives for automated workflows

Equipping agents with declarative image builders and shared network volumes removes human bottlenecks in container orchestration and dependency management.

#9 about 2 min

Leveraging parallel execution for automated problem solving

Forking system runtimes drastically multiplies computational capabilities by enabling an agent to test varying programmatic solutions simultaneously.

#10 about 5 min

Meeting the market demand for agent computing infrastructure

Iterating with developers reveals significant gaps in current serverless offerings and highlights an explosive market demand for machine-first hosting platforms.

Matching moments

1:48 min

Defining true agent behavior versus traditional enterprise chatbots

Dennis Zielke Dennis Zielke +1 · World Congress 2025

4:08 min

Transitioning software engineering teams to AI-native development workflows

Florian Deter Florian Deter +4 · World Congress 2026 Europe

2:34 min

Balancing developer autonomy with the adoption of coding agents

Clemens Wasner Clemens Wasner +4 · World Congress 2026 Europe

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · World Congress 2026 Europe

7:07 min

Exploring AI agent usage within the software engineering industry

Chris Heilmann Chris Heilmann +2 · LIVE

6:25 min

Autonomous agents and unusual startup pivots

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