AI-Assisted Software Development

AI辅助软件开发：从提示到结构化工程

掌握文档驱动的工作流，用AI构建真实软件。从简单提示到结构化工程，学会编写产品愿景、设计规范和验证AI输出，成为AI协作团队的技术主管。

Published 5/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 25m | Size: 688.74 MB

A document-driven workflow for building real software with AI — from naive prompting to structured engineering

What you’ll learn
Identify where naive prompting breaks down and apply structured techniques to overcome it
Apply a repeatable, document-driven workflow to build real software with AI as a collaborator
Write a product vision, requirements document, and high-level design spec from scratch
Generate and critically review a dependency-aware implementation plan using AI
Execute implementation tasks using a structured branch-per-task workflow
Validate every piece of AI-generated output against criteria you defined yourself
Act as technical lead in an AI-assisted team — deciding, reviewing, and directing

Requirements
Comfort reading and understanding code — no specific language or framework required
Basic familiarity with using a text editor or IDE
No prior AI tooling experience required — we start from the basics

Description
This course contains the use of artificial intelligence.

You can paste a problem into a chat window and get working code back. That is real. That is new. And the moment your project grows beyond a single prompt — the moment it becomes a real feature, a real product, a real codebase — that approach hits a ceiling. Hard. You get code that almost works. Code you cannot validate. Code you cannot maintain. And a conversation that collapses into chaos as the project grows.

This course is about what comes after that ceiling. You will learn a repeatable, document-driven workflow for building real software with AI as a collaborator inside a real development process. It is not a list of clever prompts. It is a professional skill — the kind that stays useful no matter which tool you are using or which language you are writing in next year.

Everything you learn gets applied to one real project — a full-stack multi-feature application built end to end. You do not just hear about a product requirements document. You write one. You do not just hear about an implementation plan. You execute one. Section by section, concept by concept, with AI in the loop and you in the lead.

The course is organized into seven sections. You start with tool fluency — terminal, IDE, Git, and your first AI assistant. Then you examine the naive approach honestly: what it gets you, and exactly where it breaks. From there, you learn the universal development process — requirements, design, implementation, and testing — and go deep on each stage in turn. The final section is pure execution: implementing a real task plan, task by task, using the full workflow you have built.

• Three things to internalize on day one

• AI is a collaborator inside a process, not a replacement for one.

• Documents are the coordination layer that keeps you and the AI aligned as work grows.

• You are the technical lead — the AI implements, you decide, you review, you validate.

This course is for software engineering students and junior developers. You do not need a specific stack. You do not need years of experience. What you need is comfort reading code and the willingness to follow a process, even when shortcuts are tempting. If you commit to the workflow — really commit — you will not be the same engineer at the end of this course as you are right now.