This repository offers the Chinese version of the CS146S course, addressing the transformative impact of Large Language Models (LLMs) on software development. It targets aspiring software engineers and developers aiming to achieve significant productivity gains (10x) by adopting AI-assisted workflows. The course provides practical skills in integrating cutting-edge AI into complex development processes, preparing learners for the evolving landscape of software engineering.

How It Works

The core methodology shifts software development from a traditional "code-from-scratch" approach to an iterative workflow: plan, utilize AI generation, modify, and repeat. It explores the theoretical foundations of software engineering challenges alongside state-of-the-art AI tools. Learners gain hands-on experience with AI-assisted development, automated testing, intelligent documentation generation, and security vulnerability detection, understanding how to effectively integrate LLMs and avoid common pitfalls.

Quick Start & Requirements

• Prerequisites: Equivalent to CS111 programming experience; CS221/229 knowledge recommended.
• Format: Weekly lectures, hands-on coding labs, and industry guest lectures.
• Tools/Environment: Requires a modern computer with a reliable internet connection. Examples primarily use Python and JavaScript. The course explores various AI tools and platforms, including "vibe coding" tools, AI IDEs, local AI applications, and command-line interfaces like aider, Gemini CLI, and vibe-cli.
• Links: A related project, datawhalechina/vibe-vibe, is available at