Milind Daraniya

How I Use AI Daily as a Laravel Developer

Published June 25th, 2026 11 min read

AI is no longer just a trend for me.

It has become part of my daily development work.

As a Laravel developer, I do not use AI only for fun or only for testing new tools. I use it for real work. It helps me save time, think clearly, and solve problems faster.

But I do not use AI blindly.

I use it like a smart assistant.

In this blog, I want to share how I use AI in my daily Laravel workflow, in simple English, so other developers can also understand how to use it in a practical way.


Why I Started Using AI Daily

At first, I used AI only when I got stuck.

I would ask it to explain an error or generate a small code snippet.

Later I realized something important.

AI can help in many stages of development, not just when something is broken.

It can help before writing code, while writing code, after writing code, and even while thinking about a feature.

That changed my workflow completely.

Now AI is part of my regular development process.


1. I Use AI to Understand Problems Faster

Before writing code, I first try to understand the problem properly.

Sometimes a client request or a task description is not fully clear.

For example:

What exactly should this feature do?

What fields are needed?

Who will use it?

What happens in edge cases?

What should not happen?

I ask AI to help me think through the problem.

For example, I may write:

I am building a Laravel customer module. What questions should I ask before starting development?

AI usually gives a good list of questions.

This helps me avoid mistakes later.

A lot of bugs happen because developers start coding too fast without understanding the full requirement.

AI helps me slow down and think better.


2. I Use AI for Planning Database Structure

Laravel projects usually depend heavily on database structure.

Before creating migration files, I often ask AI to suggest a clean structure.

For example:

Which tables are needed?

Which columns should be nullable?

Should this data be in a separate table?

Should I use soft deletes?

Should I add indexes?

Suppose I am building a blog system.

I may ask:

Suggest a database structure for a blog module with posts, categories, tags, and comments.

AI can give a starting point.

Then I review it and modify it according to my project.

This saves time and helps me avoid weak database design.

I still make the final decision, because the business logic matters more than the AI answer.


3. I Use AI to Write Boilerplate Code

This is one of the most useful parts.

A lot of Laravel code is repetitive.

For example:

migrations

validation rules

resource controllers

API response structure

form requests

basic CRUD methods

Instead of writing everything from scratch, I ask AI to generate a starting version.

For example:

Create a Laravel controller for a blog module with store, update, delete, and index methods.

AI gives a basic structure.

Then I improve it.

This is faster than writing every line manually, especially for simple modules.

But I never copy and paste blindly.

I always read the code first.


4. I Use AI to Write Validation Rules

Validation is very important in Laravel.

Sometimes I know what validation I need, but writing all rules manually again and again takes time.

So I ask AI things like:

Create validation rules for a customer form with name, email, phone, company, and status.

It helps me quickly get a starting point.

AI is also useful when I need custom validation ideas.

For example:

unique email

phone number length

slug format

password strength

date comparison

This saves mental energy and helps me focus on the logic instead of the syntax.


5. I Use AI to Debug Errors

This is one of the biggest benefits.

When I get stuck with an error, I paste the error message into AI and ask it to explain the problem.

For example:

SQL error

route issue

relationship problem

API response issue

JavaScript or React issue

syntax error

undefined variable

type error

AI often helps me understand the issue faster.

Sometimes the answer is correct immediately.

Sometimes it is only partly correct.

Even then, it gives me a direction to investigate.

That is valuable because debugging time gets reduced.

Instead of guessing for too long, I can move faster.


6. I Use AI to Review My Code

After writing code, I sometimes ask AI to review it.

I give it the code and ask:

Review this Laravel code for readability, security, performance, and best practices.

This helps me catch small things I may miss.

For example:

unnecessary loops

missing validation

weak error handling

repeated code

poor variable naming

possible performance issues

AI is not replacing code review from real developers, but it is a helpful extra layer.

It works like a second pair of eyes.


7. I Use AI for Refactoring Ideas

Sometimes the code works, but it does not look clean.

Or maybe the logic is correct, but the file is getting too large.

In that case, I ask AI how to improve it.

For example:

Refactor this Laravel method to make it cleaner and easier to maintain.

AI may suggest:

breaking code into smaller methods

moving logic to a service class

using form requests

using collections

improving naming

This helps me write better code over time.

Refactoring is not only about making code smaller.

It is about making code easier to understand and maintain later.


8. I Use AI to Learn New Concepts

I do not use AI only for my current work.

I also use it to learn.

For example, if I want to understand:

queues

jobs

events

observers

policies

API resources

caching

RAG

MCP

AI agents

I ask AI to explain the concept in simple English.

Sometimes I also ask it to compare two things.

For example:

Queue vs Job

Service class vs Helper

Policy vs Middleware

Prompt engineering vs context engineering

Chatbot vs AI agent

This makes learning much faster.

I can learn in a practical way instead of reading only theory.


9. I Use AI for Frontend Help Too

Even though I work a lot with Laravel, I also use React and frontend code.

AI helps me with:

form layout

button states

loading indicators

error messages

modal design

table structure

filter UI

simple component logic

If I need a React component quickly, AI can give a good starting version.

Then I adjust it to match my project style.

This is useful because frontend and backend both take time.

AI helps me move faster in both areas.


10. I Use AI for Writing Messages and Documentation

A developer does not only write code.

A developer also writes:

feature explanations

commit messages

documentation

API notes

task descriptions

email drafts

client messages

Sometimes I ask AI to help me write these in simple language.

For example:

Write a short explanation for this feature for a non-technical client.

That makes communication easier.

This is especially useful when I want to explain technical work in a way a client can understand.


My Daily AI Workflow

This is how my normal workflow looks.

Step 1: Understand the task

I first read the requirement and think about what needs to be done.

Step 2: Ask AI for ideas

I ask AI to suggest structure, logic, or possible approaches.

Step 3: Write the code myself

I use AI as support, but I still write the final code carefully.

Step 4: Review everything

I check validation, security, and business logic.

Step 5: Test the feature

I do not trust the code only because AI generated it.

Step 6: Improve it

If the code is messy, I refactor it.

This flow works well for me.


What I Never Do With AI

AI is useful, but I avoid some bad habits.

I do not trust AI blindly

AI can be wrong.

I do not deploy code without checking

Every important line must be reviewed.

I do not let AI decide business logic alone

Business rules must be understood by the developer.

I do not use AI to skip learning

AI should help me grow, not make me lazy.

This is very important.

If a developer uses AI only to copy code without understanding, that developer will not improve.


Why AI Makes Me Better, Not Weaker

Some people fear AI.

I do not.

For me, AI makes me more productive because:

I save time

I learn faster

I debug faster

I think more clearly

I can focus on solving real problems

I can deliver work faster

The important thing is to stay in control.

AI should assist the developer.

The developer should not become dependent on AI for everything.

That balance is what makes it powerful.


Advice for Other Laravel Developers

If you are a Laravel developer and you want to use AI daily, start with simple things:

ask AI to explain errors

ask AI to write basic validation

ask AI to suggest database structure

ask AI to review your code

ask AI to refactor small methods

ask AI to explain concepts in simple English

Do not start with huge tasks.

Use AI for one small part of your workflow first.

After that, slowly expand.

That is the best way to learn.


Final Thoughts

AI has become a very useful part of my Laravel development workflow.

It helps me think better, code faster, debug faster, and learn faster.

But the real value is not in letting AI do everything.

The real value is in using AI wisely.

A good Laravel developer still needs:

logic

planning

security awareness

architecture thinking

testing

business understanding

AI improves all of that when used correctly.

So my simple view is this:

AI is not replacing Laravel developers. AI is helping smart Laravel developers become even better.