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

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

Assuming a smarter model will automatically fix your AI agent is an expensive trap. Uncover five costly engineering and product mistakes to avoid when scaling AI for production.

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#1 about 2 min

Chasing product market fit in AI development

AI development creates a false sense of ease when striving for rapid viral growth and revenue.

#2 about 3 min

Building AI agents for software development life cycles

AI tools can automate maintenance tasks like code review and production monitoring to reduce developer friction.

#3 about 5 min

Defining and measuring success for AI coding agents

Capturing transaction outcomes like acceptance, ignorance, and explicit rejection reveals true product viability.

#4 about 4 min

Meeting developers in their existing workflow environments

Forcing developers into a new interface creates friction that prevents product adoption despite strong features.

#5 about 4 min

Protecting the product from silent language model updates

Relying on upstream language models introduces instability that requires strict operational guardrails and benchmarking.

#6 about 3 min

Deconstructing large agent workflows to control infrastructure costs

Analyzing pull requests at scale requires routing complex tasks to robust models and simpler tasks to cheaper alternatives.

#7 about 3 min

Rejecting extreme hustle culture in AI software engineering

Building a sustainable and resilient company requires prioritizing personal well-being over unsustainable sprint mentalities.

Matching moments

2:34 min

Balancing developer autonomy with the adoption of coding agents

Clemens Wasner

Clemens Wasner +4 · World Congress 2026 Europe

4:06 min

Real-world case study of AI agents causing quiet instability

Vera Slavnić

Vera Slavnić · Europe 2026 Virtual

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

3:33 min

Navigating developer bottlenecks and human accountability

Werner Vogels

Werner Vogels +1 · World Congress 2026 Europe

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann +2 · LIVE

7:07 min

Exploring AI agent usage within the software engineering industry

Chris Heilmann +2 · LIVE

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Upcoming sessions on this topic

World Congress 2026 North America

September 24, 2026 · 14:50–15:20

Stage 7

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

Yoav Gal

Product Lead

Yoav Gal

World Congress 2026 North America

September 24, 2026 · 11:00–11:30

Stage 5

The Missing Infrastructure for AI Agents

Chris Waterson

CTO and Co-Founder of Guild.ai

Chris Waterson

World Congress 2026 North America

September 24, 2026 · 11:40–12:10

Mainstage

I Don't Trust AI Agents (And Neither Should You): Building Production-Ready Architectures

Darko Mesaros

Distinguished Developer Advocate at AWS

Darko Mesaros

World Congress 2026 North America

September 24, 2026 · 11:20–11:25

Outdoor Stage

Finding the Edges: Testing, Evaluating, and Monitoring Voice AI Agents Before Your Users Do

Matt Wyman

CEO of Okareo

Matt Wyman

World Congress 2026 North America

September 24, 2026 · 11:10–11:15

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Architecting the 100X SDLC: Building Production Trust into AI-Assisted Delivery

Ranjan Parthasarathy

Founder, CPTO/CEO at AXIOMSTUDIO.AI

Ranjan Parthasarathy

World Congress 2026 North America

September 24, 2026 · 16:50–17:20

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Building AI Products vs. Building With AI

Aparna Dhinakaran, Rukmini Reddy, Tamar Bercovici

Aparna Dhinakaran

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