The integration of generative AI tools like GitHub Copilot, Cursor IDE, WindSurf IDE, ChatGPT, Amazon CodeWhisperer, and Gemini Code Assist is rapidly transforming software development, offering significant productivity gains but introducing complex risks. While these tools accelerate coding and reduce repetitive tasks, they can lead to decreased code quality, subtle bugs, and increased technical debt, often fostering over-reliance and skill atrophy in developers. Furthermore, AI-generated code poses substantial security and compliance challenges due to potential insecure patterns, licensing violations, and data leakage through prompts. Addressing these issues requires robust governance frameworks, human-in-the-loop practices, advanced tooling for quality and explainability, and continuous training to ensure responsible adoption and mitigate long-term strategic risks like expertise erosion and vendor lock-in.

Developer Experience (DevEx) defines how developers perceive and interact with their work environment, impacting their speed, effectiveness, quality, and business contributions . A positive DevEx, characterized by frictionless workflows and intuitive tools, significantly boosts developer productivity, software quality, and innovation, while also enhancing talent attraction and retention. Investing in DevEx yields substantial returns, including increased productivity, faster time-to-market, reduced operational costs, and improved business outcomes, making it a strategic imperative for any software-driven organization.

This discussion explores the transformative impact of AI agents on e-commerce. We cover the Model Context Protocol (MCP), Google's Agent Development Kit (ADK) and Agent-to-Agent (A2A) protocol, and Retrieval Augmented Generation (RAG). The talk concludes with a practical guide to implementing an agentic e-commerce network.