Modern Software Engineering in the Age of AI (Stanford Course) скачать в хорошем качестве

Modern Software Engineering in the Age of AI (Stanford Course)

Software engineering has reached a fundamental AI-native inflection point. AI is no longer just autocomplete or a coding assistant. Modern engineers are transitioning from writing code to designing, managing, and supervising autonomous AI agents that can build, test, deploy, and operate software end-to-end. This Stanford-style course breaks down how Large Language Models actually work, how coding agents are architected, and why the most valuable engineers in 2025 are becoming Agent Architects instead of pure coders. You’ll learn: How LLMs think (next-token prediction, vectors, training & alignment) Effective prompting, chain-of-thought, and in-context learning How AI agents use tools, memory, loops, and MCP AI-native IDEs, terminal agents, and agent workflows Avoiding hallucinations with RAG and context engineering AI testing, security risks, and prompt-injection defense AI-powered debugging, code review, SRE, and on-call automation Why the SDLC itself is being rebuilt around agents This course is inspired by Stanford-level software engineering principles, but focused on real-world systems, not theory. If you’re still only prompting AI, you’re already behind. The future belongs to developers who can orchestrate AI systems, manage parallel agents, and think in architectures—not just syntax. 🚀 Become an AI-native software engineer. 🤖 Stop prompting. Start building agents.