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

Shipping with Confidence: Observability and Quality at Scale

Christian Heilmann , Mirko Novakovic , Prince Kohli , Daniel Gebler

AI generates code faster than humanity can safely review it. Discover how to evolve your observability practices to balance agentic release velocity with uncompromised structural integrity.

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#1 about 2 min

Balancing rapid rollbacks in physical and digital supply chains

Operating automated warehouses requires specialized simulation and testing to sync digital states with the physical world during system rollbacks.

#2 about 2 min

Bridging the gap between AI code generation and verification

The exponential speed of AI code creation outpaces traditional testing methods and demands intent-based testing to maintain overall productivity.

#3 about 2 min

Shifting responsibility and the loss of dedicated quality assurance

As conventional testing departments disappear, engineers face increasing pressure to own the entire tech stack and independently maintain trust in their output.

#4 about 3 min

Handling the sudden rise of production incidents and risks

With the dramatic increase in production bugs due to faster coding cycles, organizations must implement scoring and blast radius measurements to qualify pull requests.

#5 about 5 min

Improving requirement specifications to ensure reliable AI code translations

Translating software requirements into functioning syntax requires professionals to describe inputs more explicitly rather than relying solely on output verification.

#6 about 3 min

Managing agent token usage and tracking return on investment

The widespread experimentation with modern coding tools necessitates separating models for generation versus testing to optimize prompt costs effectively.

#7 about 3 min

Balancing rapid software updates against supply chain attack risks

Development organizations struggle to find scalable practices for safely upgrading external dependencies without falling victim to cascading zero-day module compromises.

#8 about 2 min

Pacing release cycles for digital platforms versus hardware infrastructure

Fast daily deployments work well for consumer shopping applications but must be deliberately slowed down for complex robotics and physical logistics updates.

#9 about 2 min

Adapting observability strategies for long-running enterprise AI agents

Monitoring autonomous entities requires shifting from fast request-response metrics to tracking extensive agentic workflows and mathematically evaluating output accuracy.

#10 about 2 min

Structuring human governance over autonomous enterprise software workflows

Large companies are maturing their AI adoption by positioning software engineers as active supervisors over fully orchestrated, intelligent pipelines.

#11 about 2 min

Establishing secure environments for dry-running complex autonomous agent actions

Validating complex physical operations involves letting algorithms simulate scenarios before returning quantitative performance measurements for operators to approve in the real world.

#12 about 3 min

Defining developer ownership within highly distributed agentic software architectures

Engineers must understand underlying system pathways deeply enough to claim total accountability for any syntax generated by their autonomous tooling.

#13 about 2 min

Closing the development loop with automated AI incident responses

Managing the escalating velocity of coding pipelines requires deploying analytical agents in production to quickly diagnose anomalies and submit automated repairs.

#14 about 4 min

Selecting appropriately when to shift testing left versus right

Rather than reflexively front-loading every system check, deployment teams should distribute verification processes appropriately based on the precise cost of late correction.

Matching moments

3:33 min

Navigating developer bottlenecks and human accountability

Werner Vogels Werner Vogels +1 · WWC Europe 2026

4:15 min

Security integration and AI skepticism in developer tooling

Chris Heilmann +2 · LIVE

2:09 min

Managing the operational impact of AI-generated code volume

Milin Desai Milin Desai +1 · WWC Europe 2026

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

1:56 min

Managing AI speed and the rise of verification debt

Werner Vogels Werner Vogels +1 · WWC Europe 2026

1:46 min

Balancing platform availability and security with AI feature releases

Laura Thorson Laura Thorson · WWC Europe 2026

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