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World Congress 2026 Europe • Jul 9, 2026 • Session details

Agentic AI: building autonomous systems for developers

Anshul Jindal , Sebastian Mahr

What happens when LLMs become the compute engine for fully autonomous systems? Discover how to securely deploy sandboxed agentic workflows that automatically diagnose and resolve Kubernetes faults.

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#1 about 3 min

Transitioning toward autonomous software and secure agents

Software is evolving to perform complex tasks autonomously on behalf of users.

#2 about 2 min

Evolution from prompt engineering to harness engineering

Managing AI progressed from optimizing prompts and context windows to application-level harness engineering.

#3 about 4 min

Understanding agent internal loops and context compaction

Agents execute continuous loops of reasoning, action, and observation while compacting contexts to save memory limits.

#4 about 3 min

Utilizing harness frameworks as agent operating systems

Harness ecosystems act as operating systems that orchestrate continuous self-improvement loops for AI models.

#5 about 3 min

Addressing deployment challenges for production agent systems

Deploying production agents involves solving issues with latency, observability, and managing secure boundaries on kubernetes.

#6 about 2 min

Mitigating security risks and multitenancy in autonomous agents

Unrestricted agents pose critical risks involving arbitrary code execution, sensitive data exposure, and unpredictable actions.

#7 about 3 min

Securing agent runtimes with open shell sandboxing

An open shell insulates execution environments by strictly enforcing policies around file paths and network tools.

#8 about 4 min

Deploying sandboxed agent architectures on kubernetes clusters

Incorporating sandboxes within containerized clusters isolates agent tasks while enabling standard security telemetry protocols.

#9 about 5 min

Demonstrating an autonomous site reliability agent fixing code

An autonomous agent isolates system faults via log analysis and deploys functional code patches through pull requests.

#10 about 2 min

Essential principles for secure agent deployments

Validating configurations and utilizing open source tools prevents exposing local or production systems to untrusted actions.

#11 about 3 min

Exploring sandboxing alternatives and managing unpredictable agent actions

Handling system availability requires backup model providers and strict policies to contain non-deterministic actions safely.

Matching moments

3:24 min

The evolution of autonomous AI agents and workflows

Dan Ndombe Dan Ndombe · World Congress 2026 North America

1:35 min

Introduction to agentic AI engineering and code scanning

Isaac Evans Isaac Evans · World Congress 2026 North America

5:54 min

Mitigating operational risks through robust agent sandboxing

Isaac Evans Isaac Evans · World Congress 2026 North America

3:04 min

Demystifying the core technical layers of agent architectures

Taylor Jordan Smith Taylor Jordan Smith · World Congress 2026 Europe

4:37 min

Transitioning to a hybrid human and agent workforce

Thomas Dohmke Thomas Dohmke · World Congress 2025

3:45 min

Fusing developer experience and platform engineering for agentic SDLC

Julia Kordick Julia Kordick · World Congress 2026 Europe

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