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

Inside Look: AI & Developer Productivity Programs in a 1,500+ Engineering Team

Ellen Jones , Kristjan Ulst

AI assistants boost code output by 30%, but who maintains it? Discover how Arrive's 1,500-engineer team solved this maintenance paradox using peer-driven hackathons and autonomous agents.

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#1 about 2 min

Setting context for developer productivity and engineering scale

Establishing the organizational background for deploying new operational models across large-scale engineering environments.

#2 about 5 min

Driving AI tool adoption through mandatory engineering hackathons

Mandatory in-person training events drive rapid implementation and combat usage skepticism across vast software engineering groups.

#3 about 3 min

Tracking the impact of AI on pull request throughput

Increased software throughput from coding assistants creates larger pull requests and longer cycle times that require close monitoring.

#4 about 3 min

Solving the code maintenance paradox with autonomous background agents

Automated background agents manage the growing volume of structural debt and vulnerabilities generated by rapid software production.

#5 about 4 min

Identifying systemic bottlenecks through developer experience surveys

Combining system data with qualitative developer surveys uncovers the underlying organizational friction points shaping software workflows.

#6 about 2 min

Expanding AI education to non-technical teams through personalized academies

Customized technical curriculums empower non-engineering functions to successfully integrate intelligent tools into their daily workflows.

#7 about 5 min

Aligning AI budgets and outcome metrics for executive leadership

Engineering managers take direct ownership of forecasting token costs and evaluating budgetary tradeoffs against standard headcount planning.

#8 about 5 min

Key strategies for successful organizational AI integration

Effective technological enablement relies on comprehensive human training regimens, empowering local champions, and utilizing actionable sentiment data.

Matching moments

1:23 min

Measuring developer productivity, efficiency metrics, and team happiness

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

4:08 min

Evaluating AI productivity across the software development funnel

Alejandro Saucedo Alejandro Saucedo · WWC 2025

1:21 min

Using artificial intelligence to reimagine developer experience

Alexander Trusheim Alexander Trusheim +1 · WWC 2025

1:56 min

Scaling AI adoption to non-traditional enterprise developers

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

5:29 min

Driving organizational AI adoption through holistic developer joy

Alexander Birke Alexander Birke +3 · WWC 2025

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