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

Measuring the Wrong Things Faster Than Ever

AI tools write 17x more code, yet releases only grew 1.3x. Stop optimizing for dangerous token leaderboards. Discover how to measure true engineering outcomes over AI-generated noise.

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#1 about 6 min

The illusion of dominance in one-dimensional metrics

Comparing actual match outcomes to ball possession time reveals how one-dimensional measurements fail to accurately predict success.

#2 about 4 min

Anatomy of misleading metrics and token leaderboards

Token leaderboards and proxy metrics fall victim to Goodhart's law when organizations track them without proper context.

#3 about 4 min

Industry saturation and the rise of autonomous agents

As initial tool adoption hits saturation, the shift toward autonomous agents fundamentally impacts enterprise software development pipelines.

#4 about 3 min

The widening gap between code authored and released

While artificial intelligence generates more total volume, surging pull request sizes and severe code churn throttle actual release rates.

#5 about 4 min

Addressing code review surrender and process exploitation

A massive influx of generated modifications leads to capacity failures and trust erosion during decentralized review processes.

#6 about 2 min

Divergent trends in production failures and change confidence

Average quality measurements fail to capture a polarized reality where some organizations halve operational failures while others double them.

#7 about 3 min

Skyrocketing tool spending and improving token efficiency

Rapidly growing monthly platform costs per developer drive a deeper industry focus on model efficiency and open weights.

#8 about 5 min

Principles for balancing multiple software engineering health metrics

Tying organizational decisions to competing systemic checks ensures throughput gains do not unintentionally degrade code quality or developer experience.

#9 about 3 min

Shifting leadership focus from token maxing to outcome maxing

Replacing isolated leaderboards with unified strategic frameworks accurately aligns technological investments to critical business and developer outcomes.

Matching moments

1:40 min

Measuring software impact instead of lines of code

Laura Thorson

Laura Thorson · World Congress 2026 Europe

1:23 min

Measuring developer productivity, efficiency metrics, and team happiness

Neel Sundaresan

Neel Sundaresan +1 · World Congress 2026 Europe

4:06 min

Measuring developer productivity without killing engineering flow

Himanshu Vasishth

Himanshu Vasishth +3 · World Congress 2025

5:16 min

Motivations for adopting AI to enhance developer productivity

3:16 min

Overcoming review fatigue and measuring true engineering productivity

Alex Laubscher

Alex Laubscher +3 · World Congress 2025

4:12 min

Measuring generative AI impact on team productivity

Justin Reock

Justin Reock · World Congress 2026 Europe

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