Introduction

This guide is created for the Webzynix development team to understand:

• What Claude Code is

• How AI token usage works

• Which model to use for which task

• How to reduce token consumption

• How to work efficiently as a team

• Best practices for React, PHP, Laravel, SaaS, and frontend projects

• Common mistakes that waste usage

• Professional AI development workflows

This document is especially useful for:

• React developers

• PHP/Laravel developers

• UI/UX developers

• Junior developers

• Team members new to AI-assisted coding

---

1. What is Claude Code?

Claude Code is an AI-powered coding assistant by Anthropic.

Unlike a normal chatbot, Claude Code can:

• Read project files

• Create files

• Modify existing code

• Understand folder structure

• Generate components

• Refactor code

• Help debug issues

• Assist in large projects

• Work across multiple files

Think of it like:

"An AI senior developer assistant inside your project workspace."

---

2. What are Tokens?

Tokens are the basic measurement used by AI systems.

Tokens include:

• Your prompt

• Project context

• File contents

• Claude's response

• Internal reasoning

• Generated code

Example

Content	Approx Tokens
Short sentence	10–30
One React component	500–3000
Full page generation	3000–10000
Large project generation	10000–100000+

---

3. How Tokens Are Calculated

Claude counts:

Input Tokens

Everything YOU send:

• Prompt

• Instructions

• Pasted code

• Uploaded files

• Project context

Output Tokens

Everything Claude generates:

• Responses

• Code

• Explanations

• File edits

Hidden/Internal Tokens

Claude also uses internal reasoning while planning.

Especially during:

• architecture planning

• debugging

• multi-file generation

• agent workflows

---

4. Why Large Projects Consume More Tokens

Example:

If you ask:

"Build complete SaaS application with dashboard, APIs, authentication, payments, admin panel, and mobile responsiveness"

Claude must:

• understand requirements

• design architecture

• create components

• generate routes

• manage dependencies

• remember context

• generate many files

This consumes huge tokens.

---

5. Claude Plans Explained

Free Plan

Good for:

• basic chat

• simple coding help

• small tasks

Limitations:

• low usage

• fewer advanced features

• smaller context

---

Pro Plan

Best for:

• developers

• React projects

• Laravel projects

• frontend generation

• debugging

• daily development

Includes:

• Claude Code

• higher limits

• better coding workflows

• stronger models

---

Team Plan

Recommended only when:

• many developers use AI daily

• separate user management needed

• company scaling

For small startups:

1 Pro plan + free tools is usually enough initially.

---

6. Understanding Claude Models

Sonnet 4.6

Best Default Model

Use for:

• React projects

• Laravel/PHP

• frontend generation

• APIs

• UI creation

• debugging

• refactoring

• production coding

Advantages

• Fast

• Reliable

• Balanced usage

• Excellent coding quality

Recommended For Team

YES.
This should be the team's default model.

---

Opus 4.7

Best for Complex Thinking

Use only for:

• large architecture decisions

• difficult debugging

• system design

• deep analysis

• complex refactoring

Disadvantages

• slower

• expensive in usage

• consumes more tokens

Recommendation

Use occasionally only.

---

Haiku 4.5

Fast Lightweight Model

Use for:

• simple edits

• short answers

• CSS tweaks

• quick fixes

Advantages

• fast

• low usage

Disadvantages

• weaker reasoning

• less accurate for big projects

---

7. Effort Modes Explained

Low Effort

Best for:

• quick edits

• CSS changes

• text changes

• tiny bug fixes

Token Usage

LOW.

---

Medium Effort

BEST DEFAULT OPTION

Use for:

• most development tasks

• page creation

• components

• APIs

• layouts

• dashboards

Token Usage

Balanced.

Recommendation

Team should use this most of the time.

---

High Effort

Best for:

• difficult debugging

• large architecture

• huge codebases

• advanced planning

Token Usage

VERY HIGH.

Warning

Do NOT use High effort continuously.

---

8. Recommended Team Configuration

Default Team Settings

Setting	Recommended
Model	Sonnet 4.6
Effort	Medium
Workflow	Incremental
Git	Required
Project Structure	Organized

---

9. Professional AI Workflow

BAD Workflow

"Build entire SaaS app in one prompt"

Problems:

• huge token usage

• messy structure

• more bugs

• inconsistent code

• slower responses

---

GOOD Workflow

Step-by-step generation

1. Setup project

2. Configure Tailwind

3. Create layout

4. Create navbar

5. Create Home page

6. Create Services page

7. Create Pricing page

8. Create Contact page

9. Add animations

10. Optimize responsiveness

Advantages:

• cleaner architecture

• better quality

• fewer bugs

• lower token usage

• easier debugging

---

10. Best Practices for React Projects

Recommended Structure

src/
├── components/
├── pages/
├── layouts/
├── assets/
├── data/
├── hooks/
├── utils/
├── routes/
└── styles/

---

11. Best Practices for Laravel/PHP Projects

Recommended Usage

Use Claude for:

• controller generation

• API structure

• migrations

• Blade UI

• debugging

• optimization

• architecture guidance

Avoid:

• generating entire ERP in one request

• pasting thousands of lines repeatedly

• asking unrelated things in same chat

---

12. How to Save Tokens

1. Use Smaller Prompts

BAD

"Build complete production-ready enterprise SaaS with all features"

GOOD

"Create responsive pricing section with 4 plans using Tailwind CSS"

---

2. Work Incrementally

Break large tasks into:

• components

• pages

• modules

• APIs

---

3. Create Separate Chats Per Feature

Recommended

• Navbar chat

• Authentication chat

• Dashboard chat

• API chat

• Payment integration chat

This keeps context clean.

---

4. Avoid Repeating Context

Instead of repeatedly pasting:

• project requirements

• folder structure

• same code

keep one focused conversation.

---

5. Use Low Effort for Small Tasks

Do not use:

• Opus

• High effort

for:

• button alignment

• margin fixes

• text edits

---

6. Avoid Huge Pasted Files

Instead:

• reference file names

• provide only necessary snippets

---

7. Let Claude Finish

Interrupting midway may:

• waste tokens

• produce incomplete code

• force regeneration

---

13. Common Mistakes That Waste Tokens

Mistake 1

Generating entire apps in one request.

---

Mistake 2

Using High effort for simple tasks.

---

Mistake 3

Long unrelated conversations.

---

Mistake 4

Pasting huge code repeatedly.

---

Mistake 5

Asking vague instructions.

Example:

"Make it better"

Instead:

"Improve navbar responsiveness and spacing"

---

14. Team Collaboration Best Practices

Use Company GitHub Only

All code should be pushed to:

• company repositories

• organization repositories

NOT personal GitHub repositories.

---

15. Recommended Git Workflow

Branch Workflow

main
├── dev
├── feature/navbar
├── feature/dashboard
└── bugfix/login

---

16. Recommended Daily Workflow

Start of Day

1. Pull latest code

2. Create feature branch

3. Open focused Claude session

4. Work incrementally

---

During Development

• commit regularly

• test frequently

• review generated code

• avoid blind copy-paste

---

End of Day

1. Push branch

2. Create Pull Request

3. Document major changes

---

17. Should We Trust AI Completely?

NO.

Always:

• review code

• test functionality

• check security

• verify APIs

• test responsiveness

AI assists developers.
AI does NOT replace developer responsibility.

---

18. Recommended Free Tools Alongside Claude

Windsurf

Good free AI IDE.

Cursor

Excellent coding assistant.

Gemini API

Very useful free API for secondary tasks.

GitHub

Version control and collaboration.

---

19. Best Model Usage Strategy for Webzynix

Task	Model
React pages	Sonnet Medium
Laravel APIs	Sonnet Medium
UI tweaks	Sonnet Low
Architecture planning	Opus High
Bug fixing	Sonnet Medium
Large refactoring	Opus Medium/High

---

20. AI Development Rules for Team

ALWAYS

• use Git

• review AI output

• work incrementally

• create reusable components

• maintain clean structure

• use descriptive prompts

---

NEVER

• blindly deploy AI code

• expose production secrets

• use AI without testing

• generate massive apps in one shot

• mix unrelated tasks in same chat

---

21. Recommended Prompting Style

BAD Prompt

"Build website"

---

GOOD Prompt

"Create a responsive React services section using Tailwind CSS with glassmorphism cards, Lucide icons, hover animations, and mobile responsiveness."

---

22. Final Recommendations for Webzynix Team

Best Default Settings

Option	Recommended
Model	Sonnet 4.6
Effort	Medium
Project Style	Incremental
Git Workflow	Mandatory
Branches	Feature-based
AI Usage	Assisted development

---

23. Final Conclusion

Claude Code is an extremely powerful development assistant.

However, the best results come when:

• developers work systematically

• prompts are clear

• projects are structured

• tasks are broken into steps

• generated code is reviewed properly

AI works best as:

"A highly capable senior assistant developer"

—not as a replacement for engineering discipline.

When used properly, Claude Code can:

• speed up development massively

• improve UI generation

• reduce repetitive work

• assist debugging

• help architecture planning

• improve productivity for small teams

For Webzynix:

The ideal workflow currently is:

• 1 Claude Pro account

• Sonnet 4.6 Medium as default

• GitHub organization

• incremental development

• reusable component architecture

• AI-assisted collaboration

This provides the best balance of:

• productivity

• cost

• scalability

• quality

• maintainability

---

END OF GUIDE