Yan Xie – QonfX San Francisco 2026 Speaker

AI in the SDLC - Engineering Workflows in the Age of AI

Abstract

The first wave of AI in software engineering introduced assistive tools that helped developers generate code, tests, or documentation faster. Today, engineering teams are beginning to experience the next shift where AI systems participate directly in development workflows. From proposing code changes and generating validation artifacts to triggering actions within build and release pipelines, AI is moving beyond code suggestions into execution across the Software Development Lifecycle (SDLC). This evolution is gradually transforming how requirements are translated into implementation, how validation is integrated into delivery pipelines, and how software changes flow from idea to production. This panel brings together engineering leaders to explore how development and delivery workflows are evolving from AI-assisted practices towards models where AI becomes an active participant in build, test, and release processes.

Key Takeaways

1. Innovation creates noise, making obvious truths harder to see.

2. Question if a problem really needs GenAI or if existing tools suffice.

3. Understand GenAI’s true value beyond the hype.

4. Old and new solutions should complement, not replace, each other.

5. A real-world case study shows how GenAI can be used effectively.

6. Clarity comes from cutting through illusions and embracing simplicity.

About Speaker

SF Yan xie

Yan Xie

Director of Engineering

Director of Engineering at Webflow, leading Growth and AI-native product initiatives. Previously at Google, she led large-scale monetization and growth efforts, including YouTube Shorts Ads.

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Topic details coming soon..

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