I'll be direct: when I first started using ChatGPT for coding, I was doing everything wrong. I was asking it to write entire functions, copying and pasting without checking, and ending up with code that "worked" but that I didn't understand. That's the worst way to use AI.
Since then, I've developed a workflow that genuinely lets me code faster — while remaining in control of my code. Here's how.
What ChatGPT Does Really Well (and How I Use It)
1. Boilerplate generation
Repetitive code — migrations, seeders, basic unit tests, config files — that's where AI shines. These tasks are tedious, standardized, and ChatGPT generates them correctly 90% of the time.
Prompt: "Generate a Laravel migration for a 'products' table with:
- id (auto-increment)
- name (string, max 255, required)
- slug (string, unique)
- price (decimal 10,2, default 0)
- stock (integer, default 0)
- category_id (foreignId, nullable)
- is_active (boolean, default true)
- published_at (timestamp, nullable)
Add appropriate indexes."
2. Debugging obscure error messages
An incomprehensible error at 11pm? I paste it into ChatGPT with the code context. In 70% of cases, the answer is right on the first try. In the remaining 30%, the answer points me in the right direction.
3. Writing unit tests
Tests — we all do too few of them. With ChatGPT, I provide the method to test and ask for PHPUnit tests. My test coverage has increased by 40% since I started using this approach systematically.
What ChatGPT Does Poorly: Traps to Avoid
It hallucinates functions that don't exist
ChatGPT sometimes invents methods, packages, APIs. Especially on recent technologies. All generated code must be verified.
// ChatGPT suggested this Laravel "method" (it doesn't exist)
$users = User::whereActive()->paginate(20);
// The real implementation
$users = User::where('is_active', true)->paginate(20);
// or with a scope
$users = User::active()->paginate(20);
It doesn't know your codebase
ChatGPT generates generic code. It doesn't know you have a published() scope, a HasSlug trait, or that your UserController already does exactly what it's proposing. Without context, its suggestions are often redundant or incompatible.
Solution: Always copy the relevant context into your prompt. The more context you give it, the better it responds.
My Real 5-Step Workflow
- Describe the problem precisely — with context, constraints, and what I've already tried
- Read the entire response before copying anything
- Test in an isolated environment before integrating into the project
- Understand what I'm copying — if I can't explain it, I don't use it
- Document non-obvious solutions for my team (and myself in 6 months)
Prompts That Make All the Difference
- "Act as a senior Laravel developer. [...] Explain your reasoning."
- "Generate [X] following PSR-12 conventions and Laravel best practices."
- "Review this code and identify performance, security, and readability issues."
- "Give me 3 different approaches to solve [problem], with pros and cons of each."
Conclusion: AI Amplifies, It Doesn't Replace
ChatGPT is a tool. Like Git, like PHPStorm, like Stack Overflow. It amplifies your existing capabilities — it doesn't replace them. A beginner developer who uses ChatGPT is still a beginner producing generative code they don't understand. An experienced developer who uses it intelligently gains a real productivity multiplier.
The difference is the critical thinking you bring to every generated line.