Build using Claude Code - modern software development | LLM context engineering series | Lecture 9

Join here to get full access: https://vizuara.ai/courses/ai-context-engineering-engineer-plan In this lecture, I take you through one of the most practical and important shifts happening in software today: the transition from building toy projects to building real products using coding agents, modern software engineering workflows, and context engineering principles. Instead of treating AI coding tools like Claude Code as simple prompt-response systems, this session shows how to use them systematically, with intention, structure, and what I call care - the mindset that separates random output generation from serious product building. We discuss why software development is becoming dramatically faster, why human judgment still matters deeply, and how the future belongs not just to people who can use agents, but to people who can guide them properly. As a live end-to-end case study, we begin building an AI-powered mock interview agent from scratch - a product designed to simulate real machine learning or AI interviews through human-like interaction, voice-based realism, and interview-readiness assessment. The goal is not just to make something that looks good on a resume, but to create something that can genuinely solve a real pain point, deliver value to users, and potentially be turned into a monetizable product. If you are interested in modern software engineering, agentic engineering, context engineering, product thinking, or learning how to build real AI-powered applications with coding agents like Claude Code and VS Code, this lecture will give you a very practical and founder-style perspective on what building in 2026 actually looks like.