Klaus Haeuptle
SAP - Distinguished Software Engineer
Klaus Haeuptle is a Distinguished Software Engineering in the Developer Experience Team at SAP. In his current role he is driving improvement initiatives and leading a large community with more than 5k software engineers. Before he worked as software engineer and architect in supply chain management, procurement, finance and governance risk and control.
Harald Aamot is a medical informatics and distributed-systems specialist whose work centers on large-scale refactoring and cloud transformation. He helps enterprises modernize complex, data-heavy platforms by automating code migration, reducing technical debt, and aligning to standards using OpenRewrite and ecosystem tools. His expertise spans cloud-native architectures, microservices on SAP BTP, in-memory computing with SAP HANA, CI/CD, DevSecOps, and privacy-preserving analytics in regulated environments. As a development expert, he champions developer experience, performance, and reliability to accelerate delivery while maintaining security and compliance and governance. Harald speaks on scalable code transformation, pragmatic legacy-to-cloud paths, and building trustworthy, sustainable software at enterprise scale.
Presentations
This session follows our journey at SAP from developer frustration to establishing the large scale refactoring capability. We’ll share how we moved from grassroots discovery and community workshops to building a robust business case for automation. Learn how we leveraged an InnerSource model to bridge the gap between central technology teams and product units, effectively “paving the road” for seamless upgrades, migrations, and recurring code changes.
Learn how we leveraged an InnerSource model to bridge the gap between central technology teams and product units, effectively “paving the road” for seamless upgrades, migrations, and recurring code changes.
Join a panel of trailblazing engineering leaders who are shaping how the industry thinks about scaling software development. From navigating technical debt to responsibly integrating generative AI, this conversation will cover the hard-won lessons and emerging strategies for managing massive codebases.
We’ll dive into:
- Impact of developer time spent on code refactoring.
- The influence of generative AI code creation on automated code refactoring.
- Techniques for ensuring genAI authored code is high quality, maintainable, and secure—and proving it meets standards.
- Organizational challenges of managing large-scale code changes, including PR overload, developer trust, and risk mitigation.
- Measuring the impact of technical debt across large software organizations and driving leadership action.
- Risk assessment and mitigation strategies when rolling out changes that affect thousands of developers.
- The role of auto-refactoring in developer portals and real-world use cases for integration.
- Challenges and lessons learned from using generative AI for testing and dead code removal at scale.
Come with questions—this panel is built to spark insight and honest discussion.