AI Programming Beginner Course: Requirement Analysis × DeepSeek + Trae Setup × SOP Mindset × Prototype Development, Build Tools from Zero

Course Introduction

This course is built for total beginners. It systematically teaches AI programming from requirement analysis, tool selection, programming mindset building to monetization practice. It covers understanding requirements (self-use efficiency / paid order monetization), configuring the AI tool DeepSeek V4 PRO, using the IDE tool Trae, programming mindset (SOP-driven AI development), monetization models (selling tools on e-commerce / paid development / going overseas), and hands-on walkthrough (API config → IDE config → requirement gathering → dev & test → prototype iteration). The course emphasizes letting AI implement tool development by clearly stating your needs; make a prototype first for validation, then iterate deeper.

1. Understand Your Requirements

You must be clear: what do you want the tool made by AI programming to do? Is it to boost efficiency on your own projects, or to monetize by developing tools for clients (basically hard without mature programming experience), or something else?

In my own case, I build efficiency tools to help projects, and take paid orders for monetization.

2. Tool Introduction

AI tool: DeepSeek V4 PRO via API (low development cost)

IDE tool: Trae (developed by ByteDance)

These two are very suitable for beginners.

3. Programming Mindset

Simply put, when doing a project and hitting hard problems, can we use tools to raise efficiency? If yes, can we organize a complete SOP flow and have AI programming implement the tool via that SOP flow?

Put more comprehensively: give your requirement to AI, and AI helps you implement it.

4. Monetization Models

Develop some tools, sell them on e-commerce platforms, do paid development for clients, or go overseas, etc.

If you do not want to monetize, just build efficiency tools yourself to copy how you run projects.

5. Hands-on Walkthrough

First configure the DS API

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Then configure the IDE tool

Then organize the idea or the complete SOP flow for the tool you want to build

Finally, use AI programming to develop and test the tool

In the early phase, make a prototype first. If it fits, go deeper; if not, rebuild the prototype.

Your own requirement must be clear, like this:

For example: I want to use root-word analysis to see which product notes appear on the Xiaohongshu homepage, but Xiaohongshu blocks long screenshots; I tried many tools and none can do this.

I want to build an auto-scroll long-screenshot tool on the web, screenshotting in batches rather than all at once. Then export JPG or PNG images, finally pack and download the screenshots. It can be built as an EDGE browser extension or as a desktop tool. Is this feasible? Analyze first, then decide.

Because the Xiaohongshu homepage is very long as you scroll down, I need to make multiple long screenshots in batches.

After the prototype is done, use real project experience to continuously enrich the tool.