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World Congress 2025 • Aug 20, 2025 • Session details

AI Pair Programming with GitHub Copilot at SAP: Looking Back, Looking Forward!

Alexander Trusheim , Sumeet Shetty

How did SAP successfully scale GitHub Copilot to 25,000 engineers? Discover the enterprise rollout strategy that prioritized developer flow and reduced cognitive load to naturally boost productivity.

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#1 about 4 min

Defining developer experience strategy at an enterprise scale

Effectiveness, efficiency, and well-being form the foundation for reducing cognitive load and increasing flow state.

#2 about 2 min

Using artificial intelligence to reimagine developer experience

Applied artificial intelligence elevates developer tools and processes beyond mere productivity gains.

#3 about 3 min

Evaluating and selecting an AI pair programming tool

Assessing market options prioritized enterprise values like security, trust, and indemnity to choose a primary vendor.

#4 about 2 min

Evolving capabilities of AI pair programming support

From code completion and chat functions to agent mode, new system features continuously reduce friction in development workflows.

#5 about 2 min

Phased rollout of AI tools across the organization

A mandate from executive leadership initiated rigorous due diligence, leading to a controlled pilot before wide enterprise distribution.

#6 about 4 min

Gathering system telemetry and developer experience data

Combining usage metrics with frequent, targeted surveys provides a complete picture of tool perception and effectiveness.

#7 about 4 min

Shifting relevance of specific software engineering skills

AI assistance alters the necessity of traditional syntax knowledge while increasing demand for code review and refactoring proficiency.

#8 about 2 min

Real developer testimonials on AI development impact

Engineers report faster onboarding to unfamiliar programming languages and improved focus without breaking their flow state.

#9 about 5 min

Scaling AI adoption to thousands of software developers

Phased onboarding coupled with self-service resources and community-driven support maintains tool adoption at a massive scale.

#10 about 4 min

Crucial lessons for deploying generative AI in enterprises

Executive advocacy, comprehensive data tracking, clear roadmaps, and community assets are vital for successful organizational adoption.

#11 about 3 min

Future priorities for AI pair programming integration

The ongoing strategy focuses on closing platform feature gaps, driving early adoption of innovations, and continuously measuring investment value.

Matching moments

3:16 min

Driving developer productivity with AI in automotive tech

Mike Butcher Mike Butcher +3 · WWC 2024

51 sec

Impact of AI tools on developer collaboration

Brooke Gazdag Brooke Gazdag · Europe 2026 Virtual

1:40 min

Adoption of integrated AI assistants in developer workflows

Julia Wilson Julia Wilson +1 · WWC 2025

2:11 min

Understanding GitHub Copilot and core developer benefits

lgonta lgonta +1 · WWC 2024

1:55 min

Shifting developer workloads and realistic AI productivity gains

Chris Heilmann +2 · LIVE

1:56 min

Scaling AI adoption to non-traditional enterprise developers

Neel Sundaresan Neel Sundaresan +1 · WWC Europe 2026

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