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World Congress 2026 Europe • Jul 10, 2026 • Session details

The AI Velocity Trap: Shipping Faster Without Breaking More

Ohans Emmanuel

Unchecked AI coding agents accelerate drafting but overwhelm downstream QA. Escape this velocity trap with zero-trust harnesses to ship code faster without breaking production.

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#1 about 3 min

The gap between AI code generation and software delivery

The ease of generating boilerplate with AI increases code output but fails to automatically translate into reliable product releases.

#2 about 4 min

How accelerated AI builds break downstream engineering processes

Accelerating the code build phase without updating downstream steps overwhelms testing and deployment pipelines with software regressions.

#3 about 5 min

Defining intent as a verifiable artifact for coding agents

Capturing precise project requirements and verification steps ensures AI code strictly aligns with architectural plans before execution begins.

#4 about 3 min

Implementing zero trust architecture for automated code reviews

Integrating strict validation checkpoints ensures agent-generated pull requests are evaluated against original specifications rather than just typical syntax.

#5 about 3 min

Validating user experiences directly with automated QA agents

Deploying AI instances to interact with preview environments identifies visual application bugs that traditional code diffs often miss.

#6 about 3 min

Catching early deployment anomalies using background monitoring agents

Background systems observing production signals can trace performance spikes back to root issues before incident platforms trigger alerts.

#7 about 4 min

The intent-driven framework for modern software lifecycles

A continuous cycle of planning, building, verifying, and observing prevents high-speed engineering pipelines from deploying broken features.

#8 about 5 min

Centralizing technical specifications for human and agent reviewers

Persisting implementation details in shared ticket trackers guarantees that both developers and asynchronous automation understand the exact goal.

Matching moments

3:42 min

The promise and risk of AI coding agents

May Walter May Walter · WWC Europe 2026

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

3:09 min

Accelerating right of code workflows with AI agents

Taroon Mandhana Taroon Mandhana +1 · WWC Europe 2026

2:34 min

Balancing developer autonomy with the adoption of coding agents

Clemens Wasner Clemens Wasner +4 · WWC Europe 2026

3:33 min

Navigating developer bottlenecks and human accountability

Werner Vogels Werner Vogels +1 · WWC Europe 2026

1:56 min

Managing AI speed and the rise of verification debt

Werner Vogels Werner Vogels +1 · WWC Europe 2026

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