📰 Originally published on Securityelites — AI Red Team Education — the canonical, fully-updated version of this article.
💻 MASTERING CODING WITH AI FREE
Day 2 of 5 · 40% complete
I’ve watched the same scene play out dozens of times: someone opens ChatGPT, types “write me a Python script that does X,” gets code back, runs it, and it doesn’t quite work. They ask for a fix. They get more code. Still not right. After three rounds they’re frustrated and convinced AI coding “doesn’t work for non-developers.”
The real problem is almost never the AI. It’s the prompt. A weak prompt gets you a plausible first guess at what you might have wanted. A strong prompt gets you working code that does exactly what you specified. The difference between those two outcomes is a structured prompting approach — and once I teach it to people, their AI coding success rate goes from frustrating to consistent within a single session.
Today I’m giving you the complete prompting stack I use every time I generate code with AI: Context, Task, Language, Format, and Constraints. Five components. Every time. No exceptions. By the end of today you’ll have produced working code from your own prompt — something that actually runs and does something real.
🎯 What You’ll Master in Day 2
The five-component code prompt stack that works reliably
How to describe what you want to BUILD vs what you want to TYPE
The three environments — browser, computer, server — and which to specify when
Iterative prompting: how to evolve code without starting over each time
Your first real piece of working AI-generated code, running live
⏱ 25 min read · 3 exercises · Browser only for exercises
📋 Before You Start:
- Completed Day 1: How to Think About Code
- Comfortable with: Input → Process → Output model, architect vs builder role, specificity levels
- Have access to any AI chatbot (ChatGPT, Claude, Gemini — all free tiers work)
Prompting AI for Code — Day 2 of 5
- The Five-Component Code Prompt Stack
- Context — Tell AI What World This Code Lives In
- Task — Describe What to BUILD, Not What to TYPE
- Language and Format — Make Outputs Immediately Usable
- Constraints — The Component Most People Skip
- Iterative Prompting — How to Evolve Code Without Starting Over
- Weak vs Strong Prompts — Real Examples
- Questions and Answers
Day 1 gave you the mental model. Today you put it into practice. The prompting skills here connect directly to the Prompt Engineering course Day 2 on general prompt structure — but today is specifically tuned for code generation, where the stakes are higher because the output either runs or it doesn’t. And our Google Dork Generator is a good example of a tool built exactly this way — straightforward IPO logic, clearly specified, deployed as a browser tool. You’ll be building something similar by Day 4.
The Five-Component Code Prompt Stack
Every strong code prompt I write has five components. Not all five need equal length, and for simple tasks some can be one sentence. But all five should be present, because each one does work that the others can’t.
The five components are: Context, Task, Language, Format, and Constraints.
Think of them as the five answers to the five questions a good developer would ask before writing any code: What world does this live in? What should it do? In what language? In what form do you need the output? What must it not do?
Before I show them individually, here’s what a full five-component prompt looks like for a simple tool:
FULL FIVE-COMPONENT PROMPT EXAMPLE Copy
CONTEXT: I’m building a simple security awareness tool for my company. Non-technical employees will use it in a browser. No installation or login required.
TASK: Build a password strength checker. Input: a text box where the user types a password. Process: check if the password has 12+ characters, at least one uppercase letter, at least one number, and at least one special character. Score it: Weak (0-1 criteria), Fair (2-3 criteria), Strong (all 4 criteria). Output: a colour-coded strength label (red/amber/green) that updates in real time as the user types. Do NOT show the password strength to anyone else — this runs only in the user’s browser.
LANGUAGE: A single HTML file with embedded CSS and JavaScript. No external libraries or downloads.
FORMAT: Give me the complete HTML file I can save and open directly in Chrome. Include comments in the code explaining what each section does.
CONSTRAINTS: Never send the password anywhere. All processing must happen in the browser only. No network requests. Keep the design dark and professional. That prompt gets working, deployable code in one pass. Let me take each component apart.
Context — Tell AI What World This Code Lives In
Context is the component that most dramatically changes what the AI builds. It answers: who uses this, where does it run, what level of technical sophistication can I assume from the user, and what is the broader purpose of this tool?
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