• views: 125
• date: 9 May 2026
• posted by: 0nelove

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.
Who this course is for
Software engineering students who want to build real projects with AI tools, not just toy snippets
Junior developers who have used AI to write code and felt the limits of just prompting harder
Anyone who wants a repeatable, professional workflow for AI-assisted development that scales beyond a single prompt



   
   
   

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