Smart Dev Assistant: AI Agent Mode in VS Code

Udaya Veeramreddygari
Lead Software Engineer, USA & IEEE member USA
Short Bio
Experienced software engineering leader with over two decades of proven expertise in architecting, developing, and managing enterprise-scale applications across domains like automotive, finance, and telecommunications. Specialized in Java, Spring Boot, Microservices, and AWS. Udaya has led cross-functional teams across global locations, delivering high-performance, cloud-native solutions aligned with business strategy. His current role as Lead Software Engineer at Cox Automotive highlights his strengths in system modernization, ML/AI integration, and GenAI enablement, fostering automation and innovation across the SDLC. Beyond engineering, Udaya is deeply engaged in the technology community through conference speaking, peer reviews, and judging for global tech awards. He is an active member of IEEE and serves on technical program committees for multiple international conferences. With certifications in AWS, Scrum, ITIL, and architecture, along with scholarly contributions on LLMs, AI productivity, and sustainability, Udaya brings a unique combination of technical depth, leadership acumen, and thought leadership to every engagement.
 
Abstract
This workshop highlights the incredible capabilities of AI Agent Mode in Visual Studio Code. Here, a smart coding assistant works independently to support developers as they write, debug, and refactor code in real-time. By using natural language prompts, the agent can understand tasks, offer suggestions for improvements, and even take actions directly within the code editor. This creates a smooth, context-aware development experience that’s perfect for enhancing productivity, minimizing context-switching, and optimizing workflows.