Generative AI Developer Assist tools are reshaping enterprise software development by enabling faster iteration, improved code quality, and reduced time to market. Our working hypothesis: these tools can accelerate updates to existing codebases, streamline code reviews, enhance test coverage, and support more efficient delivery cycles.
This session presents a real-world case study that puts this hypothesis into practice. Tasked with building an internal risk analysis tool to support open source consumption governance, a single engineer used GitHub Copilot to deliver a fully functional proof-of-concept in just five days—a task that would traditionally require a full agile team much longer.
In addition to the case study, the session will cover:
Key learnings from the development process
Practical guardrails for responsible and secure adoption
Current limitations and considerations for enterprise integration
Join us to explore how Generative AI can be thoughtfully applied to accelerate enterprise development workflows—turning ideas into prototypes with unprecedented speed.
Tapabrata “Topo” Pal is a thought leader, keynote speaker, evangelist in the areas of DevSecOps, Continuous Delivery, Cloud Computing, Open Source Adoption and Digital Transformation. He is a hands-on developer and Open Source contributor. Topo has been leading and contributing to industry initiatives around automated governance in DevOps practices. He is also a coauthor of Investments Unlimited: A Novel About DevOps, Security, Audit Compliance, and Thriving in the Digital Age.
