WeAreDevelopers Logo WeAreDevelopers
Sign in
For You LIVE
World Congress 2026 Europe • Jul 9, 2026 • Session details

What 500+ Production Environments Taught Us About Shipping AI Agents

Liran Hason

AI agent demos are easy. Scaling them is brutal. Discover why 500 production environments required aggressive caching, model migrations, and a UI that thinks out loud.

Pause
Mute Enter Fullscreen
#1 about 2 min

Building an agentic observability system for telemetry data

An overview of an agentic system that queries logs, metrics, and traces to investigate production root causes.

#2 about 3 min

Moving an impressive AI agent demo into production environments

While building a compelling demo took only two weeks, reaching internal beta and design partners required six months of refinement.

#3 about 6 min

Treating language model upgrades as complex system migrations

Upgrading foundation models changes agent behavior unpredictably, requiring extensive evaluation and prompt fine-tuning before deployment.

#4 about 5 min

Optimizing AI infrastructure costs by maximizing token caching

Relying on agent SDK abstractions can hide inefficient prompt management, leading to low cache hit ratios and high context costs.

#5 about 5 min

Improving perceived latency by making agent reasoning visible

Streaming the agent's thought process and active tool calls provides continuous user feedback, effectively eliminating complaints about slow response times.

#6 about 3 min

Key learnings from scaling agents across production environments

Summarizing practical insights on model migrations, cost tracking through cache metrics, and the critical role of user experience in adoption.

#7 about 4 min

Evaluating and scoring models to ensure reliable prompt migrations

Designing comprehensive evaluation systems helps score agent success rates and guide prompt adjustments during foundational model transitions.

Matching moments

2:04 min

Inspiration and challenges of scaling AI agent communication

diabhey diabhey · WWC 2025

2:28 min

Introduction to building reliable AI agents in production

Max Tkacz Max Tkacz · WWC 2025

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

1:48 min

Adapting observability strategies for long-running enterprise AI agents

Christian Heilmann Christian Heilmann +3 · WWC Europe 2026

2:43 min

Deploying a web application through an AI agent workflow

Mike Mike · WWC 2025

1:09 min

Resolving developer challenges in AI agent implementation

Ricardo Ricardo · WWC 2025

More from World Congress 2026 Europe

Building the Nervous System of AI - Michael Kagan (NVIDIA) thumbnail
29:17
about 1 month ago

Building the Nervous System of AI - Michael Kagan (NVIDIA)

Michael Kagan, Sead Ahmetović

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote thumbnail
19:41
about 1 month ago

Five Things in Tech that Matter Now - WeAreDevelopers World Congress 2026 Closing Keynote

Christian Heilmann

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend thumbnail
32:06
about 1 month ago

The Sound of Your Secrets: Teaching Your Model to Spy, So You Can Learn to Defend

David vonThenen

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes thumbnail
35:13
about 1 month ago

Super scaling for the Super Bowl: How to survive 30 million users hitting your backend in 30 minutes

Irina Branovic

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬 thumbnail
24:23
about 1 month ago

Running Secure Life Science Research at Scale using Hybrid GPU HPC and Kubernetes 🧬

Jeremy Murray

Angstfreude - AI and Corporate Culture - The Thrill and the Threat thumbnail
30:26
about 1 month ago

Angstfreude - AI and Corporate Culture - The Thrill and the Threat

Axel Ebert, Karin Krobath

Upcoming sessions on this topic

Open session

World Congress 2026 North America

Closing the Visibility Gap: Lessons from Safety Critical Agentic Systems

Vivek Pandit

Principal Engineer at Cadence

Vivek Pandit
Open session

World Congress 2026 North America

When Agents Became Users: Rearchitecting Identity and Permissions for AI at Scale

Yoav Gal, Dor Cohen

Yoav Gal
Dor Cohen
Open session

World Congress 2026 North America

AI Agents are Only as Smart as their Context: Building a Real-Time Context Engine at Intuit

Bharat Patel

Lead Software Engineer at Intuit

Bharat Patel
Open session

World Congress 2026 North America

Agents That Own Their Inference: Building Production AI Agents on Dedicated GPUs

Duan Lightfoot

Sr. AI Engineer, Akamai

Duan Lightfoot
Open session

World Congress 2026 North America

No Single Model to Rule Them All: Building Resilient AI Agents Across Open & Closed LLMs

Emmanuel Acheampong

Senior Manager Developer Relations at Crusoe AI

Emmanuel Acheampong
Open session

World Congress 2026 North America

Your Evals Passed. Your Agent Just Emptied a Database.

Tejas Pravinbhai Patel

IEEE Award-Winning Researcher | Best Keynote Speaker | Sr. Software Engineer at Amazon | AI Systems & Agent Architect

Tejas Pravinbhai Patel

Related videos

Beyond the Benchmark: How to Evaluate AI Agents in the Real World thumbnail
30:04
WWC Europe 2026 • about 1 month ago

Beyond the Benchmark: How to Evaluate AI Agents in the Real World

Taylor Jordan Smith

5 things I wish I hadn’t done building my AI agent thumbnail
20:16
WWC Europe 2026 • about 1 month ago

5 things I wish I hadn’t done building my AI agent

Shachar Azriel

Running AI at Scale: The Secret Ingredients thumbnail
30:04
WWC Europe 2026 • about 1 month ago

Running AI at Scale: The Secret Ingredients

Boris Hecker, Max Tschochohei, Peter Kürpick, Tomislav Tipurić

Unlocking the AI Black Box: Building Trust in the Era of Agentic Production thumbnail
27:40
WWC Europe 2026 • about 1 month ago

Unlocking the AI Black Box: Building Trust in the Era of Agentic Production

Jemiah Sius, Harry Kimpel

What Production Knows: Closing the Loop Between AI Agents and the Systems They Build thumbnail
26:33
WWC Europe 2026 • about 1 month ago

What Production Knows: Closing the Loop Between AI Agents and the Systems They Build

May Walter

The AI Agent Path to Prod: Building for Reliability thumbnail
30:48
WWC 2025 • 12 months ago

The AI Agent Path to Prod: Building for Reliability

Max Tkacz

Related articles

From learning to earning

Jobs that call for the skills explored in this talk.