Author: Muhammad Ali Raza
Date: 22/07/2025

AI-assisted coding is exploding across the internet. Social media is packed with clips of people “creating apps” in minutes using AI tools. But here’s the truth: most of them are doing it all wrong.

After for a long period in development, everything shifted for me when I started using AI—not just for help, but as a true coding assistant.

By following a structured method I was able to build production-ready tools and apps—often without writing a single line of code by hand.

The secret? I stick to 10 core principles that most overlook.

Even if you’ve never written code before, this framework will help you launch high-quality, functional apps rapidly.

Let’s dive in.

---

Why Most AI Projects Fail

Here are the most common pitfalls I see developers make when using AI to build apps:

 

• • Asking AI to generate full apps in one go (and getting broken code)

• • Skipping security checks (inviting bugs and vulnerabilities)

• • Using the same chat window endlessly (which confuses the AI over time)

• • Jumping in without a proper plan (leading to frustration and miscommunication)

I made all these mistakes. But through trial and experience, I learned how to get it right.

---

Case Study: AI-Powered Landing Page Analyzer

Throughout this post, I’ll use an example: a tool I created that analyzes landing pages using AI.

Features include:

 

• • Extracting content from any web page

• • Taking screenshots

• • Using AI to evaluate design, clarity, and messaging

• • Producing actionable recommendations

And yes—it’s fully production-ready and built in just 2 hours.

---

Rule 1: Begin with a Clear Plan

Before prompting AI, lock down two things:

 

1. 1. Tech Stack
      Your options include:
      • Next.js + Vercel (modern web apps)
      • Python (automation tools)
      • React Native (mobile apps)
      • WordPress – my favorite for fast MVPs.

      For this project, I used:

       

      • • WordPress REST API for backend
      • • HTML/CSS/JS with shortcodes for frontend
      • • Code Snippets plugin for quick deployment

1. 1. App Workflow
      Map out your tool step-by-step:
      User enters URL → Scrape content → Take screenshot → Send to AI → Show results

Taking 15–30 minutes to plan will save you hours later.

---

Rule 2: Break Work into Micro Tasks

Trying to do it all at once leads to chaos. Instead, break it down like LEGO bricks.

Example tasks:

 

• • Build content scraper

• • Build AI analysis logic

• • Connect both functions

• • Create the user interface

Each task should be manageable in under an hour and completed in its own separate chat session.

---

Rule 3: Write Detailed Prompts

Vague inputs = weak results.

Bad prompt:
“Scrape this webpage.”

Good prompt:
“Write a WordPress function that uses ScraperAPI to scrape a URL, take a screenshot, and return structured data including success status and the image link. Prefix function with ‘lwh_landing_analyzer.’ Include graceful error handling.”

The better your input, the smarter the output.

---

Rule 4: Focus on the Core Feature

Your first version should do one thing well. Don’t get distracted by:

 

• • Login systems

• • Payment gateways

• • Data caching

• • Notifications

Nail the core functionality before adding extras.

---

Rule 5: Provide Documentation Upfront

Include API references in your prompts so AI can generate better code.

For example, when using ScraperAPI, I provided endpoint examples, parameters, and response formats. This helped AI write clean, reliable code like:

function lwh_landing_analyzer_get_url_data($url) {
    // ScraperAPI code here with screenshot and structured response
}

---

Rule 6: Always Ask the AI to Clarify

End every prompt with:
“Ask me clarifying questions before writing the code.”

This ensures better results. For example, AI might ask:

 

• • What aspects should be analyzed?

• • What output format is preferred?

• • Should analysis include scoring?

It’s a great way to avoid miscommunication.

---

Rule 7: Don’t Blindly Copy-Paste – Learn

Understand what the AI is generating. When AI gave me an OpenAI API call using both text and images, I realized:

 

• • GPT-4o supports image analysis

• • JSON structure matters

• • Multi-modal prompts can be powerful

Take the time to read and learn as you go.

---

Rule 8: Test Every Piece of Code

I created a custom test endpoint and ran it through:

 

• • Standard URLs

• • Redirects

• • Non-existent pages

• • Edge cases

Every task you complete should go through real-world testing.

---

Rule 9: Run a Security Audit

Before publishing, always ask AI to check for vulnerabilities:

“Analyze this code for critical security issues: SQL injection, CSRF, input validation, API key exposure, XSS.”

AI often finds risks you might miss—like missing sanitization or over-permissive CORS policies.

---

Rule 10: Use Fresh Sessions Per Task

Using one long chat session leads to errors and hallucinations.

Instead:

 

• • Finish Task 1 in one session

• • Save your working code

• • Start a new session for Task 2 with only relevant context

This improves consistency and reduces bugs.

---

The Final UI: Prompt Example

To build the frontend, I prompted:

“Create a WordPress shortcode with a URL input, analyze button, loading spinner, result display (including screenshot), and markdown rendering using marked.js. Make it responsive and styled using inline CSS.”

AI generated everything: input form, API call, result rendering, error handling—all responsive and styled.

---

Using AI Coding Assistants

Once you’ve mastered this system, you can speed up further using tools like:

 

• • VS Code + Claude API

• • AI coding extensions (e.g., Cline)

These help with multi-file editing, architecture planning, and smart suggestions—but the core rules still apply.

---

Avoid These Common Mistakes

 

1. 1. Generating the whole app in one go

1. 1. Ignoring security vulnerabilities

1. 1. Using one chat for everything

1. 1. Adding features before core is working

1. 1. Forgetting error handling

---

Why I Love WordPress for AI SaaS

Benefits include:

 

• • AI knows WordPress deeply

• • Instant deployment

• • Easy user management

• • Flexible plugins and integrations

Perfect for:

 

• • Micro SaaS

• • Internal tools

• • Client projects

• • MVPs

---

Final Results

With this system, I’ve built:

 

• • PowerKit – marketing tools suite

• • TubeDigest – YouTube analytics app

• • Landing Page Analyzer – showcased here

• • Multiple client tools – often in just 2–4 hours

---

Quick Recap: 10 AI-First Development Rules

 

1. 1. Start with a clear plan

1. 1. Break tasks into chunks

1. 1. Write precise prompts

1. 1. Build core functionality first

1. 1. Include relevant docs

1. 1. Ask AI to clarify

1. 1. Understand what’s generated

1. 1. Test thoroughly

1. 1. Review for security

1. 1. Use new chats per task

---

Start Small, Think Big

AI won’t do the job for you—but it’ll help you build fast if you guide it right.

Choose a small project. Follow these rules. Ship something useful.

Then keep building.