DEV Community: Tech Tales

Why Good Developers Can Still Deliver Bad Projects

Tech Tales — Mon, 10 Aug 2026 04:52:35 +0000

Why Good Developers Can Still Deliver Bad Projects

Great developers don't always guarantee successful projects. Here's why.

A software project can have experienced developers, a talented team, modern technology, and a strong technical foundation—and still fail.

That sounds strange, right?

But it happens more often than we think.

The problem isn't always the developer.

Sometimes, the real problem is the system surrounding the developer.

The Titanic Analogy

The Titanic sank on April 15, 1912.

It wasn't built by amateurs.

It had skilled engineers, experienced officers, a professional crew, and advanced technology for its time. Yet the ship still sank after hitting an iceberg.

That gives us an interesting question:

How can a system filled with capable people still produce a catastrophic result?

Now replace the Titanic with a software project.

Engineers → Developers
Crew → Development Team
Iceberg → Project Risk
Ship's journey → Software Development Lifecycle

Suddenly, the comparison feels very familiar.

Software Projects Usually Don't Fail Overnight

Most project failures don't happen because of one huge mistake.

They happen through a chain of small decisions.

For example:

Unclear Requirement
        ↓
Assumptions
        ↓
Small Change
        ↓
More Development Work
        ↓
Testing Gets Delayed
        ↓
Deadline Pressure
        ↓
Critical Bugs
        ↓
Project Failure

Every individual step may seem manageable.

But when these problems accumulate, the project becomes difficult to control.

"We'll Clarify It Later"

One of the most common problems developers face is unclear requirements.

A requirement isn't fully understood.

Someone says:

"We'll clarify it later."

So development starts.

The developer makes an assumption.

The frontend is built.

The backend API is developed.

Testing begins.

Then the requirement changes.

Now the team has to rework what was already completed.

The developer wasn't necessarily doing bad work.

The problem started before the coding even began.

"It's Just a Small Change"

This is another familiar situation.

A client requests a new feature.

"It's just a small change."

But software features are rarely isolated.

A small change can affect:

Database structure
Backend APIs
Frontend UI
Authentication
Existing functionality
Testing
Deployment
Documentation

What looks like a 30-minute change from the outside may create several hours of development and testing work.

This is why scope management matters.

When Developers Raise Concerns

Developers often identify technical problems early.

Maybe an existing architecture will create scalability issues.

Maybe an API isn't suitable for the expected requirement.

Maybe a feature needs more time than originally estimated.

Maybe a third-party integration is unreliable.

If the response is always:

"We'll handle it later."

the problem doesn't disappear.

It simply moves forward in the project.

And problems that are cheap to solve early can become expensive to solve later.

The Testing Trap

As deadlines approach, testing is often one of the first activities to get squeezed.

The team may say:

"We'll fix the critical issues first."

Then:

Testing time decreases.
Edge cases are missed.
Regression testing becomes limited.
Bugs reach production.
Developers start fixing production issues.

Now the team spends more time fixing problems that could have been detected earlier.

Skipping testing doesn't remove work. It usually moves the work to a more expensive stage.

Unrealistic Deadlines Create Technical Debt

Another common situation:

The deadline doesn't move.

The scope doesn't decrease.

But the team is expected to finish everything faster.

Eventually, developers have to compensate.

They work longer hours.

They skip documentation.

They reduce testing.

They take shortcuts.

They postpone refactoring.

The project may appear to be progressing.

But technical debt is accumulating underneath.

The "Hero Developer" Problem

Software companies often celebrate the developer who stays until 2 AM.

The developer who fixes everything.

The developer who says:

"Don't worry. I'll handle it."

And sometimes, that developer genuinely saves the project.

But here's the question:

Why did the project need a hero?

If the project constantly depends on someone working late, solving last-minute problems, and compensating for earlier decisions, you don't have a heroic project.

You have a fragile project.

What Developers Actually Need

Developers don't only need better technical skills.

They also need a better environment in which to use those skills.

A healthy software project should provide:

Clear Requirements

Developers should understand what needs to be built before implementation begins.

Realistic Estimates

Development effort should be estimated based on actual complexity rather than wishful deadlines.

Open Communication

Developers should feel comfortable raising technical concerns.

Controlled Scope

Every new requirement should be evaluated for its impact on time, cost, and quality.

Enough Testing Time

Testing shouldn't be treated as something that happens only if there is extra time.

Early Risk Management

Potential problems should be identified before they become emergencies.

What Project Managers Can Do

Project management isn't just about tracking tasks and asking:

"Is this completed?"

A good Project Manager should also ask:

Are the requirements clear?
What risks have been identified?
Has the scope changed?
Is the timeline still realistic?
Are developers blocked?
Are technical concerns being addressed?
Is enough time available for testing?
Are we depending too much on individual team members?

These questions can prevent small problems from becoming large ones.

Build Systems, Not Heroes

A successful software team shouldn't depend on one person constantly saving the project.

Instead, the process should make success repeatable.

Clear Requirements
        +
Good Communication
        +
Risk Management
        +
Realistic Planning
        +
Proper Testing
        =
More Stable Projects

The goal isn't to eliminate hardworking developers.

The goal is to create a system where developers don't have to constantly rescue the project.

As the original article puts it:

A good Project Manager doesn't build a project around heroes. They build a system that doesn't require heroes every week.

Final Thought

A bad software project doesn't always mean you have bad developers.

You can have excellent developers and still have:

Poor requirements
Scope creep
Communication gaps
Ignored technical risks
Insufficient testing
Unrealistic deadlines

And eventually, these problems can come together.

The lesson is simple:

Don't only invest in better developers. Build better systems around them.

Because the strongest development teams aren't the ones that constantly save failing projects.

They're the ones that build projects that don't need saving in the first place.

Prompt Engineering Techniques Every Developer Should Know

Tech Tales — Mon, 10 Aug 2026 04:45:17 +0000

Prompt Engineering Techniques Every Developer Should Know

Artificial Intelligence has become an essential part of modern software development. Whether you're generating boilerplate code, debugging APIs, writing documentation, or learning a new framework, tools like ChatGPT, Claude, Gemini, and GitHub Copilot can significantly improve productivity.

However, one thing separates developers who get average results from those who get exceptional results:

The quality of AI output depends on the quality of your prompt.

That's where Prompt Engineering comes in.

In this article, we'll explore practical Prompt Engineering techniques that every developer should know, along with examples you can start using today.

What Is Prompt Engineering?

Prompt Engineering is the process of writing structured instructions that help Large Language Models (LLMs) generate accurate, relevant, and useful responses.

A well-written prompt usually includes:

A role
Context
A clear task
Output format
Constraints

Think of AI as a teammate. The clearer your instructions, the better the outcome.

Basic Prompt vs Better Prompt

Basic Prompt

Explain JWT Authentication.

This produces a generic explanation.

Better Prompt

Act as a Senior Backend Developer.

Explain JWT authentication to a beginner.

Include:
- Real-world analogy
- Login flow
- Token validation
- Common security mistakes
- Simple Node.js example

Keep the explanation under 500 words.

Notice how the second prompt clearly defines the role, audience, requirements, and output.

The 5 Building Blocks of a Great Prompt

Assign a Role

Tell AI who it should be.

Act as a Flutter Developer.

Act as a DevOps Engineer.

Act as a Product Manager.

This changes both the depth and style of the response.

Provide Context

Bad:

Fix my API.

Better:

I'm building a Flutter app using GetX.

Backend:
- Node.js
- Express
- JWT Authentication

Issue:
Users receive 401 Unauthorized after token expiration.

The more context you provide, the more useful the response becomes.

Clearly Describe the Task

Examples:

Review this Flutter widget.

Optimize this SQL query.

Write unit tests.

Generate API documentation.

Avoid asking AI to do multiple unrelated tasks in one prompt.

Specify the Output Format

Instead of saying:

Explain this.

Specify:

Return the answer as Markdown.

Return only JSON.

Use a comparison table.

Formatting saves time later.

Add Constraints

Examples:

- Under 300 words
- Beginner friendly
- No third-party libraries
- Follow Flutter best practices
- Code only

Small constraints often produce dramatically better responses.

Powerful Prompt Engineering Techniques

Few-Shot Prompting

Teach AI with examples.

Positive -> Great UI

Negative -> Poor navigation

Positive -> Excellent documentation

Now classify:

"The dashboard is easy to navigate."

Useful for:

Classification
Formatting
Content generation
Data extraction

Chain-of-Thought Prompting

Instead of:

Solve this algorithm.

Try:

Solve this algorithm step by step before giving the final answer.

Ideal for:

Algorithms
Debugging
Mathematics
System Design

Prompt Chaining

Instead of asking AI to build an entire application in one prompt:

Generate the SRS

↓

Design the database

↓

Create REST APIs

↓

Generate Flutter UI

↓

Write Unit Tests

Breaking large tasks into smaller prompts improves consistency and quality.

Iterative Refinement

Don't stop after the first response.

Example:

Create Login Page

↓

Add Validation

↓

Use GetX

↓

Improve Accessibility

↓

Optimize Performance

Professional developers continuously refine prompts to achieve production-ready results.

Interview-Style Prompting

One of the most underrated techniques.

Instead of asking AI to immediately generate an answer:

Act as a Senior Software Architect.

Before designing the solution, ask me five questions about:

- Users
- Scalability
- Security
- Budget
- Deployment

This reduces assumptions and produces much better solutions.

Common Prompt Engineering Mistakes

❌ No context

❌ Multiple unrelated tasks

❌ No output format

❌ No constraints

❌ Accepting the first response without refining

A Reusable Prompt Template


text
Act as a [Role].

Context:
[Describe your project]

Task:
[Exactly what you need]

Output Format:
Markdown / JSON / Table / Code

Constraints:
- ...
- ...
- ...

You can reuse this template for coding, documentation, debugging, testing, architecture, and learning.

**Final Thoughts**

Prompt Engineering isn't about finding "magic words." It's about communicating effectively with AI.

As AI becomes a standard part of software development, developers who know how to write clear, structured prompts will build software faster, debug more efficiently, and produce higher-quality results.

Learning Prompt Engineering today is an investment that will continue to pay off as AI tools evolve.

Happy prompting!

Prompt Engineering Techniques Every Developer Should Know

Tech Tales — Fri, 07 Aug 2026 10:09:06 +0000

Prompt Engineering Techniques Every Developer Should Know

However, one thing separates developers who get average results from those who get exceptional results:

The quality of AI output depends on the quality of your prompt.

That's where Prompt Engineering comes in.

In this article, we'll explore practical Prompt Engineering techniques that every developer should know, along with examples you can start using today.

What Is Prompt Engineering?

Prompt Engineering is the process of writing structured instructions that help Large Language Models (LLMs) generate accurate, relevant, and useful responses.

A well-written prompt usually includes:

A role
Context
A clear task
Output format
Constraints

Think of AI as a teammate. The clearer your instructions, the better the outcome.

Basic Prompt vs Better Prompt

Basic Prompt

Explain JWT Authentication.

This produces a generic explanation.

Better Prompt

Act as a Senior Backend Developer.

Explain JWT authentication to a beginner.

Include:
- Real-world analogy
- Login flow
- Token validation
- Common security mistakes
- Simple Node.js example

Keep the explanation under 500 words.

Notice how the second prompt clearly defines the role, audience, requirements, and output.

The 5 Building Blocks of a Great Prompt

Assign a Role

Tell AI who it should be.

Act as a Flutter Developer.

Act as a DevOps Engineer.

Act as a Product Manager.

This changes both the depth and style of the response.

Provide Context

Bad:

Fix my API.

Better:

I'm building a Flutter app using GetX.

Backend:
- Node.js
- Express
- JWT Authentication

Issue:
Users receive 401 Unauthorized after token expiration.

The more context you provide, the more useful the response becomes.

Clearly Describe the Task

Examples:

Review this Flutter widget.

Optimize this SQL query.

Write unit tests.

Generate API documentation.

Avoid asking AI to do multiple unrelated tasks in one prompt.

Specify the Output Format

Instead of saying:

Explain this.

Specify:

Return the answer as Markdown.

Return only JSON.

Use a comparison table.

Formatting saves time later.

Add Constraints

Examples:

- Under 300 words
- Beginner friendly
- No third-party libraries
- Follow Flutter best practices
- Code only

Small constraints often produce dramatically better responses.

Powerful Prompt Engineering Techniques

Few-Shot Prompting

Teach AI with examples.

Positive -> Great UI

Negative -> Poor navigation

Positive -> Excellent documentation

Now classify:

"The dashboard is easy to navigate."

Useful for:

Classification
Formatting
Content generation
Data extraction

Chain-of-Thought Prompting

Instead of:

Solve this algorithm.

Try:

Solve this algorithm step by step before giving the final answer.

Ideal for:

Algorithms
Debugging
Mathematics
System Design

Prompt Chaining

Instead of asking AI to build an entire application in one prompt:

Generate the SRS

↓

Design the database

↓

Create REST APIs

↓

Generate Flutter UI

↓

Write Unit Tests

Breaking large tasks into smaller prompts improves consistency and quality.

Iterative Refinement

Don't stop after the first response.

Example:

Create Login Page

↓

Add Validation

↓

Use GetX

↓

Improve Accessibility

↓

Optimize Performance

Professional developers continuously refine prompts to achieve production-ready results.

Interview-Style Prompting

One of the most underrated techniques.

Instead of asking AI to immediately generate an answer:

Act as a Senior Software Architect.

Before designing the solution, ask me five questions about:

- Users
- Scalability
- Security
- Budget
- Deployment

This reduces assumptions and produces much better solutions.

Common Prompt Engineering Mistakes

❌ No context

❌ Multiple unrelated tasks

❌ No output format

❌ No constraints

❌ Accepting the first response without refining

A Reusable Prompt Template


text
Act as a [Role].

Context:
[Describe your project]

Task:
[Exactly what you need]

Output Format:
Markdown / JSON / Table / Code

Constraints:
- ...
- ...
- ...

You can reuse this template for coding, documentation, debugging, testing, architecture, and learning.

**Final Thoughts**

Prompt Engineering isn't about finding "magic words." It's about communicating effectively with AI.

As AI becomes a standard part of software development, developers who know how to write clear, structured prompts will build software faster, debug more efficiently, and produce higher-quality results.

Learning Prompt Engineering today is an investment that will continue to pay off as AI tools evolve.

Happy prompting!

Digital Marketing in 2026: Why Technology Matters More Than Ever

Tech Tales — Mon, 03 Aug 2026 06:47:33 +0000

Digital Marketing in 2026: Why Technology Matters More Than Ever

Every year, someone declares that SEO is dead.

Someone else says social media is losing its impact.

Then a new AI tool appears, and suddenly everyone claims marketing has changed forever.

The reality?

Digital marketing hasn't become easier—it has become smarter.

In 2026, businesses aren't winning because they post more content or spend more on ads. They're winning because they use technology to understand customers, automate repetitive work, and make better decisions.

Let's look at what actually matters.

SEO Is Still a Technical Discipline

Search Engine Optimization has evolved beyond keyword stuffing and backlink chasing.

Modern SEO is about building websites that users—and search engines—love.

That means:

Fast page speeds
Mobile-first experiences
Clean website architecture
Helpful, well-structured content
Strong internal linking
Technical optimization

The best-performing websites aren't trying to "game" search engines. They're creating better user experiences.

AI Is an Assistant, Not a Replacement

AI has become part of almost every marketing workflow.

It can help generate ideas, analyze customer behavior, automate repetitive tasks, and optimize campaigns faster than ever before.

But AI still needs direction.

Without strategy, audience research, and human creativity, AI-generated campaigns quickly become generic.

The companies getting the best results are using AI to improve productivity—not to replace thoughtful marketing.

Data Is the Competitive Advantage

Clicks and impressions are only surface-level metrics.

The real questions are:

Where are users dropping off?
Which campaigns generate qualified leads?
Which pages convert visitors into customers?
What content keeps users engaged?

Analytics answers these questions.

Businesses that measure performance consistently make better decisions than those relying on assumptions.

Paid Ads Work Best Alongside Organic Growth

Google Ads and Meta Ads can generate traffic almost immediately.

SEO builds authority over time.

Neither should replace the other.

Paid advertising delivers quick visibility, while organic marketing creates long-term sustainability. The strongest digital strategies combine both instead of treating them as competing channels.

Content Is Still the Engine Behind Every Channel

Whether you're optimizing for Google, running paid campaigns, sending emails, or posting on social media, everything starts with content.

Useful articles.

Educational videos.

Practical guides.

Case studies.

Documentation.

Good content improves discoverability, builds trust, and supports every other marketing effort.

Technology changes quickly.

Helpful content continues to deliver value.

Automation Creates Time for Better Work

Modern marketing teams spend less time on repetitive tasks thanks to automation.

Campaign scheduling, email workflows, audience segmentation, reporting, and performance monitoring can all be automated.

Automation doesn't remove marketers from the process.

It removes repetitive work so they can focus on strategy, creativity, and solving customer problems.

The Future of Digital Marketing Is Smarter Decisions

The biggest shift in 2026 isn't a new platform or algorithm.

It's the ability to make informed decisions using data, AI, and customer insights.

The businesses seeing consistent growth are the ones investing in:

Technical SEO
High-quality content
Data-driven decision making
Marketing automation
AI-assisted workflows
Better customer experiences

Technology is no longer just supporting marketing.

Technology is marketing.

Final Thoughts

Digital marketing will continue to evolve, but one principle remains constant:

Build something valuable.

Whether it's a fast website, a helpful blog, an optimized campaign, or an engaging social media experience, long-term success comes from creating value for users—not chasing trends.

That's the direction digital marketing is taking in 2026, and it's a trend worth embracing.

UI/UX Design in 2026: Why Great Products Feel Invisible

Tech Tales — Fri, 31 Jul 2026 10:38:52 +0000

UI/UX Design in 2026: Why Great Products Feel Invisible

When people think about UI/UX design, they often imagine beautiful colors, modern layouts, and smooth animations.

But in 2026, great design isn't measured by how impressive it looks.

It's measured by how little users have to think.

The best digital products today don't force users to learn complicated interfaces. They guide users naturally, helping them accomplish tasks quickly and confidently.

That's why UI/UX has become one of the most important aspects of building successful web and mobile applications.

Good Design Solves Problems

Imagine opening a food delivery app.

You don't want to spend five minutes figuring out where the search bar is or how to place an order.

You simply want food.

That's the goal of good UX.

Users visit applications to complete tasks—not to admire the interface.

Whether it's:

Shopping online
Booking appointments
Applying for jobs
Managing business operations

the experience should feel effortless.

If users have to think too much, the design has already failed.

AI Is Changing User Experience

Artificial Intelligence is no longer just a backend feature.

It's becoming part of the user experience itself.

Modern applications now offer:

Smart search suggestions
Personalized recommendations
AI chat assistants
Predictive text
Automated workflows
Personalized dashboards

Instead of forcing users to search for everything manually, applications increasingly anticipate what users need next.

Good UX in 2026 isn't about adding more features.

It's about reducing unnecessary effort.

Simplicity Never Goes Out of Style

One misconception about UI design is that "minimal" means "basic."

Actually, designing simple interfaces is one of the hardest challenges.

Every unnecessary button...

Every distracting animation...

Every confusing menu...

adds friction.

The best interfaces focus only on what's important.

Think about products like Google Search or Notion.

Their interfaces aren't overloaded with visual effects.

Instead, they prioritize:

Clear typography
Logical spacing
Consistent layouts
Obvious navigation
Purposeful interactions

Simple interfaces help users move faster.

Accessibility Is No Longer Optional

Accessibility isn't just about compliance.

It's about making products usable for everyone.

Good accessibility includes:

High color contrast
Readable typography
Keyboard navigation
Screen reader support
Alternative text for images
Large touch targets

Interestingly, these improvements don't only help users with disabilities.

They improve the experience for everyone.

That's why accessibility has become a core design principle rather than a feature.

Trust Has Become Part of UX

Today's users care about privacy.

They want to know:

Why an application requests permissions
How their data is stored
What information is collected
Whether their account is secure

Designers now focus on creating interfaces that build confidence through:

Transparent privacy settings
Secure authentication flows
Clear confirmation messages
Honest error handling
Predictable user interactions

A beautiful interface may attract users.

A trustworthy experience keeps them.

Designing Beyond One Screen

People don't use a single device anymore.

A user might:

Discover your product on a phone
Continue browsing on a tablet
Complete the purchase on a laptop

That's why responsive design has evolved beyond simply resizing layouts.

Modern UI/UX means creating experiences that feel natural across every screen size while maintaining consistency.

Users shouldn't have to relearn your interface every time they switch devices.

Why Businesses Care About UX

Good UI/UX isn't just good for users.

It's good for business.

Better experiences often lead to:

Higher customer satisfaction
Better engagement
Increased conversions
Lower bounce rates
Improved retention
Fewer support requests

Investing in design often saves far more money than fixing usability issues after launch.

A Few UI/UX Principles That Never Fail

No matter how design trends change, these principles remain timeless:

Design for people, not trends.
Keep interfaces simple.
Remove unnecessary steps.
Make navigation predictable.
Test with real users.
Prioritize accessibility.
Build trust through transparency.
Optimize for performance.
Be consistent across every screen.

Technology changes.

Human behavior doesn't change nearly as fast.

Final Thoughts

Every year introduces new tools, AI capabilities, design systems, and visual trends.

But the goal of UI/UX remains exactly the same:

Help users accomplish their goals with as little effort as possible.

Users rarely remember the color of a button.

They remember how easy—or frustrating—it was to use your product.

The best interfaces aren't the ones with the most animations.

They're the ones users don't have to think about.

REST API Development: The Backbone of Modern Web Applications

Tech Tales — Fri, 31 Jul 2026 05:20:36 +0000

REST API Development: The Backbone of Modern Web Applications

Every time you log into an application, browse products, submit a form, or refresh your dashboard, something happens behind the scenes.

Your frontend doesn't magically know what data to display—it requests it from a backend server through a REST API.

REST APIs are one of the first concepts every backend and full-stack developer should understand. Whether you're building with React, Angular, Vue, Flutter, Node.js, Django, Spring Boot, or ASP.NET Core, chances are you're working with REST APIs every day.

Let's break down what they are, how they work, and why they're still one of the most widely used ways to build scalable applications.

What Is a REST API?

REST stands for Representational State Transfer, while API stands for Application Programming Interface.

In simple terms, a REST API allows two different applications to communicate over HTTP.

Think of it like this:

Frontend → Collects user input
REST API → Receives requests and sends responses
Backend → Processes business logic
Database → Stores and retrieves data

When a user clicks "Login", the frontend sends the credentials to an API. The backend validates them, checks the database, and returns a response.

Everything happens in milliseconds.

A Typical Request Flow

Here's what happens when a user opens a profile page:

User
   │
   ▼
Frontend (React / Flutter)
   │
HTTP Request
   │
   ▼
REST API
   │
Business Logic
   │
   ▼
Backend
   │
Database
   │
HTTP Response
   │
   ▼
Frontend

This separation keeps applications modular and much easier to maintain.

Why REST APIs Matter

Imagine you're building:

A React website
A Flutter mobile app
An admin dashboard
An iOS application

Would you build four different backends?

Probably not.

Instead, all four applications communicate with the same REST API.

That's one of REST's biggest advantages.

It allows multiple clients to share the same backend while remaining completely independent.

Designing Good Endpoints

A REST API should expose meaningful resources.

Good examples:

GET    /api/users
GET    /api/users/5
POST   /api/users
PUT    /api/users/5
PATCH  /api/users/5
DELETE /api/users/5

Notice how the endpoint stays consistent.

Only the HTTP method changes.

That's exactly how REST is intended to work.

Understanding HTTP Methods

REST APIs mainly rely on five HTTP methods.

GET

Retrieve data.

GET /api/products

POST

Create new data.

POST /api/products

PUT

Replace an existing resource.

PUT /api/products/15

PATCH

Update specific fields.

PATCH /api/products/15

DELETE

Remove data.

DELETE /api/products/15

If you've ever built CRUD operations, you've already used these methods.

JSON: The Language APIs Speak

Most REST APIs exchange information using JSON.

Example response:

{
  "id": 1,
  "name": "John Doe",
  "role": "Developer"
}

It's lightweight, easy to read, and supported by virtually every programming language.

Authentication vs Authorization

These two concepts often get confused.

Authentication

Who are you?

After login, the backend generates a token (usually JWT).

Every protected request includes that token.

Authorization: Bearer eyJhbGc...

Authorization

What are you allowed to do?

Example:

Admin → Manage users
Recruiter → Post jobs
Candidate → Apply for jobs

Authentication verifies identity.

Authorization controls permissions.

Validation Matters

Never trust user input.

Even if your frontend validates everything, users can still bypass it.

Your backend should always validate:

Required fields
Email format
Password strength
File uploads
Numeric values
Duplicate records

Backend validation protects both your application and your database.

Returning Meaningful Status Codes

One mistake many beginners make is returning 200 OK for everything.

Instead, use appropriate status codes.

Code	Meaning
200	Success
201	Resource Created
400	Bad Request
401	Unauthorized
403	Forbidden
404	Not Found
500	Internal Server Error

Good APIs communicate clearly—not just with data, but with status codes too.

API Security Basics

A production-ready REST API should include:

HTTPS
JWT Authentication
Password hashing
Input validation
Rate limiting
CORS configuration
Environment variables
Role-based authorization

Security shouldn't be something you add later.

It should be part of the API from day one.

Testing Your APIs

Before connecting your frontend, test your endpoints.

Popular tools include:

Postman
Insomnia
Swagger UI
Bruno

Test for:

Valid requests
Invalid requests
Missing fields
Authentication failures
Permission checks
Error handling

If an API hasn't been tested, it probably isn't production-ready.

Best Practices

Here are a few habits that make a huge difference:

Use meaningful endpoint names.
Keep response structures consistent.
Return proper status codes.
Validate every request.
Write API documentation.
Version your APIs.
Handle errors gracefully.
Keep business logic out of controllers whenever possible.

These practices make APIs easier to maintain as projects grow.

Final Thoughts

REST APIs are one of those technologies that quietly power almost everything we use online.

Users rarely notice them—but without them, modern applications simply wouldn't work.

Whether you're building your first CRUD application or designing enterprise-level systems, understanding REST APIs will make you a better developer.

After all, great applications aren't just built with beautiful frontends.

They're built on reliable APIs that connect everything together.

A Day in the Life of a Project Management Intern: Balancing Project Coordination and Recruitment

Tech Tales — Mon, 27 Jul 2026 05:03:14 +0000

A Day in the Life of a Project Management Intern: Balancing Project Coordination and Recruitment

Project management isn't just about Gantt charts and deadlines—it's about communication, coordination, and helping teams succeed.

When I started my internship as a Project Management Intern, I assumed my work would mainly involve tracking project timelines and updating task lists.

I quickly realised that the role is much more dynamic.

On any given day, I might be:

Attending client meetings
Coordinating with developers and QA teams
Preparing Minutes of Meeting (MOM)
Tracking project progress
Scheduling interviews and communicating with candidates

Every day is different, and every responsibility teaches something new.

Here's what a typical day looks like.

Starting the Day

Before opening Slack or checking emails, I spend a few minutes planning my day.

I usually ask myself:

What are today's priorities?
Are there any client meetings?
Which development tasks need follow-up?
Do I have interviews to schedule?
Are there any deadlines approaching?

This simple routine helps me stay organised and prevents last-minute surprises.

Coordinating Software Projects

A large part of my internship revolves around project coordination.

Although developers write the code, someone needs to ensure everyone stays aligned—and that's where project management comes in.

Some of my daily responsibilities include:

Tracking project progress
Following up on assigned tasks
Coordinating with developers, designers, and testers
Monitoring project milestones
Identifying blockers before they become bigger problems

One lesson I've learned is that good communication often solves problems faster than long meetings.

Client Meetings

Client meetings are probably the most valuable learning experience I've had.

Clients share:

New feature requests
Business requirements
Bug reports
Feedback
Questions about ongoing development

The challenge isn't just listening—it's understanding what the client actually needs and translating that into actionable tasks for the development team.

Writing Minutes of Meeting (MOM)

After every meeting, I prepare a Minutes of Meeting (MOM) document.

A good MOM includes:

Meeting date
Participants
Discussion points
Decisions made
Action items
Responsible person
Deadlines

Clear documentation keeps everyone aligned and avoids misunderstandings later.

Following Up with Developers

Once requirements are documented, I coordinate with the development team.

This usually involves:

Clarifying requirements
Discussing priorities
Tracking implementation
Sharing project updates
Escalating blockers when necessary

I've realised that project management is less about giving instructions and more about enabling teams to work efficiently.

Supporting Recruitment

One interesting part of my internship is that I also assist with recruitment.

Some of my responsibilities include:

Reviewing resumes
Scheduling interviews
Coordinating interview timings
Communicating with candidates
Updating recruitment trackers
Following up after interviews

Balancing recruitment with project coordination has improved my communication, organisation, and time management skills.

Learning to Prioritise

No two days look the same.

Some days are packed with client meetings.

Other days involve documentation, project follow-ups, recruitment activities, or supporting multiple teams at once.

The biggest lesson?

You can't do everything at the same time—but you can always decide what matters most.

Learning how to prioritise has probably been the most valuable skill I've developed so far.

Skills I've Gained

This internship has helped me improve far more than just project management.

Some of the skills I've developed include:

Communication
Team coordination
Time management
Documentation
Problem-solving
Active listening
Adaptability
Professional communication
Attention to detail

These skills are useful regardless of which career path you choose.

Challenges

Like every internship, there have been challenges.

Some common ones include:

Tight deadlines
Managing multiple priorities
Coordinating different teams
Keeping documentation up to date
Handling changing client requirements

Every challenge has helped me become more organised and confident.

Advice for Future Project Management Interns

If you're about to start your internship, here are a few things I'd recommend:

✅ Keep a daily task list.

✅ Take detailed meeting notes.

✅ Communicate proactively.

✅ Ask questions whenever you're unsure.

✅ Learn the basics of Agile and the Software Development Life Cycle (SDLC).

✅ Stay curious and keep learning.

Remember:

Project management isn't about managing people—it's about helping people work together effectively.

Final Thoughts

My internship has shown me that project management is much more than managing deadlines.

It's about connecting people, solving problems, improving communication, and ensuring projects move in the right direction.

Balancing project coordination with recruitment has given me a broader understanding of how software companies operate and has helped me grow both professionally and personally.

Every meeting, every project update, and every interview has been another opportunity to learn.

And honestly, that's what makes the journey worthwhile.

What about you?

If you've worked as a Project Management Intern or are planning to start your journey, I'd love to hear about your experience.

Share your thoughts in the comments!

Understanding JavaScript Objects: A Beginner's Guide

Tech Tales — Mon, 20 Jul 2026 06:17:40 +0000

Understanding JavaScript Objects: A Beginner's Guide

JavaScript is one of the most popular programming languages used for building modern web applications. As you start learning JavaScript, you will come across an important concept called Objects.

Objects are everywhere in JavaScript. They help developers store, organize, and manage related data efficiently.

In this article, we will learn:

What JavaScript objects are
Why objects are used
How to access and update object properties
How to create object methods
Real-world usage of objects

Let's get started!

What is a JavaScript Object?

A JavaScript object is a collection of data stored as key-value pairs.

Each key represents a property name, and the value represents the information stored in that property.

Example:
const student = {
name: "John",
age: 21,
course: "Computer Science"
};

console.log(student);
Output:
{
name: "John",
age: 21,
course: "Computer Science"
}

Here:

name → property
"John" → value
age → property
21 → value

Objects allow us to represent real-world data in a structured format.

Why Do We Use Objects in JavaScript?

Imagine creating an application where you need to store user details.

Without objects:

let userName = "Alice";
let userAge = 25;
let userRole = "Developer";

Managing multiple variables becomes difficult when the application grows.

Using objects:

const user = {
name: "Alice",
age: 25,
role: "Developer"
};

console.log(user);

Now all related information is stored together.

Advantages of Objects:

✅ Better code organization
✅ Easy data management
✅ Improved readability
✅ Reusable data structure
✅ Widely used in modern applications

Accessing Object Properties

There are two common ways to access object properties.

Dot Notation

The most common method.

const product = {
name: "Laptop",
price: 65000
};

console.log(product.name);
Output:
Laptop

Bracket Notation

Bracket notation is useful when property names are dynamic.

console.log(product["price"]);
Output:
65000
Updating Object Properties

Objects are mutable, which means we can update their values.

Example:

const employee = {
name: "David",
role: "Developer"
};

employee.role = "Senior Developer";

console.log(employee);
Output:
{
name: "David",
role: "Senior Developer"
}
Adding New Properties

We can also add new properties to an existing object.

employee.salary = 75000;

console.log(employee);
Output:
{
name: "David",
role: "Senior Developer",
salary: 75000
}

This feature makes objects flexible and useful for dynamic applications.

Object Methods in JavaScript

Objects can store functions too.

Functions inside objects are called methods.

Example:

const user = {
name: "Alice",

greet() {
return Hello, ${this.name}!;
}
};

console.log(user.greet());
Output:
Hello, Alice!

The this keyword refers to the current object.

Real-World Example of JavaScript Objects

Let's create a car object:

const car = {
brand: "Toyota",
model: "Fortuner",
year: 2025,

start() {
return ${this.brand} ${this.model} is starting...;
}
};

console.log(car.start());
Output:
Toyota Fortuner is starting...

Here, the object contains:

Vehicle information
A function to perform an action

Where Are JavaScript Objects Used?

Objects are used in almost every JavaScript application.

APIs

APIs commonly exchange data using JSON objects.

Example:

{
"username": "john",
"email": "john@example.com"
}
React Applications

React uses objects for:

Component state
Props
API responses
Configuration data

Example:

const user = {
name: "John",
role: "Admin"
};
Backend Development

In Node.js applications, objects are used for:

Database records
User information
Server responses
Application settings
Common Beginner Mistakes

Missing Commas

❌ Incorrect:

const user = {
name: "John"
age: 25
}

✅ Correct:

const user = {
name: "John",
age: 25
}

Accessing Undefined Properties

Example:

console.log(user.address);

Output:

undefined

Always make sure the property exists before accessing it.

Conclusion

JavaScript objects are one of the fundamental concepts every developer should learn.

They help you:

Organize data efficiently
Build scalable applications
Work with APIs
Manage application states
Create cleaner code

Once you understand objects, learning advanced JavaScript concepts like arrays of objects, JSON, React state management, and backend development becomes much easier.

Start practicing by creating your own objects and experimenting with different properties and methods.

Happy Coding!

What I Learned as a Software Testing Intern at Scode Software Solutions

Tech Tales — Sat, 18 Jul 2026 06:04:52 +0000

What I Learned as a Software Testing Intern at Scode Software Solutions

As developers, we often focus on building features. But during my internship at Scode Software Solutions, I learned that building software is only half the journey—ensuring it works correctly, reliably, and consistently is equally important.

Working as a Software Testing Intern gave me the opportunity to understand how Quality Assurance (QA) contributes to delivering production-ready software. From testing web and mobile applications to collaborating with developers, every task helped me understand the value of software testing in real-world projects.

Getting Started

Before joining the internship, I thought software testing was simply about finding bugs.

After working on real projects, I realized that testing is about validating functionality, improving user experience, and preventing issues before users encounter them.

Every feature goes through multiple levels of verification before release, making QA an essential part of the Software Development Life Cycle (SDLC).

My Responsibilities

During the internship, I worked primarily on manual testing for web and mobile applications.

My responsibilities included:

Understanding project requirements
Executing test cases
Verifying implemented features
Identifying bugs and edge cases
Reporting defects with clear reproduction steps
Retesting after bug fixes
Validating application behaviour before deployment

These tasks taught me how structured testing improves software quality and reduces production issues.

Testing Techniques I Worked With

Throughout the internship, I gained exposure to several testing approaches.

Functional Testing

Verified that every feature behaved according to the business requirements.

Regression Testing

Ensured that new changes did not break existing functionality.

Smoke Testing

Performed quick validation after each build to confirm that the application's core functionality was stable.

Compatibility Testing

Checked application behaviour across different browsers, devices, and operating systems.

UI Testing

Verified layouts, navigation, forms, buttons, and visual consistency.

UX Testing

Focused on improving the overall user experience by identifying usability issues.

Basic Security Testing

Learned the importance of validating authentication, input handling, and common security considerations.

Performance Testing Concepts

Understood how application speed and responsiveness affect user satisfaction and overall quality.

Bug Reporting Matters

One of the most valuable skills I developed was writing clear and actionable bug reports.

A good bug report should include:

A clear title
Steps to reproduce
Expected result
Actual result
Screenshots or recordings (when needed)
Environment details
Severity and priority

Well-written bug reports help developers reproduce and resolve issues faster.

Lessons Beyond Testing

The internship also helped me improve several professional skills:

Analytical thinking
Attention to detail
Communication
Team collaboration
Documentation
Problem-solving

Working closely with developers showed me that software quality is a shared responsibility across the entire team.

My Biggest Takeaway

The biggest lesson I learned is simple:

Testing isn't about proving software works—it's about discovering where it doesn't.

Every bug found before production improves the user experience and saves valuable development time later.

Quality isn't achieved at the end of development; it's built throughout the entire development process.

What's Next?

This internship has motivated me to continue learning more about Quality Assurance and modern testing practices.

My next learning goals include:

Test Automation
Selenium
API Testing
Performance Testing
Security Testing
CI/CD Testing
Automation Frameworks

I look forward to applying these skills in future projects and continuing my journey in software quality assurance.

Final Thoughts

My internship at Scode Software Solutions has given me practical experience, strengthened my understanding of QA, and shown me how testing contributes to delivering reliable software.

For anyone starting a career in software testing, my advice is simple:

Stay curious.
Think like an end user.
Document everything clearly.
Never stop learning.

Software quality is not the responsibility of one person—it's the result of teamwork, continuous testing, and attention to detail.

Thanks to the entire team at Scode Software for making this a valuable learning experience.

Happy Testing!

I Stopped Fighting AI and Started Building Better — Here's What Changed

Tech Tales — Mon, 13 Jul 2026 06:16:28 +0000

I Stopped Fighting AI and Started Building Better — Here's What Changed

Artificial Intelligence is changing software development faster than ever before. Every week, there's a new AI coding assistant, a new framework, or another tool promising to build applications in minutes. Many developers are asking the same question:

*Will AI replace developers?
*
After using AI in real-world software projects, my answer is simple:

No. AI won't replace developers—it will empower those who know how to use it.

My Journey with AI

Like many developers, I was skeptical when AI coding tools started gaining popularity.

As a Full Stack Developer, I invested years learning JavaScript, React, Node.js, Express.js, MongoDB, REST APIs, authentication, deployment, debugging, and system architecture.

Then suddenly, AI could generate hundreds of lines of code in seconds.

At first, it felt overwhelming.

But after integrating AI into my daily workflow, I realized something important.

AI generates code. Developers create solutions.

That's the difference.

AI Doesn't Understand Your Business

AI is incredibly good at writing code.

It can:

Generate CRUD APIs
Build React components
Create authentication flows
Write SQL queries
Explain algorithms

But AI doesn't understand:

Your business requirements
Client expectations
Changing project scope
Security considerations
System architecture
Performance optimization

Those responsibilities still belong to developers.

My Development Workflow Today

Instead of asking AI to build everything, I use it as a productivity partner.

My workflow looks like this:

Understand the requirement.
Design the system.
Plan database relationships.
Think about edge cases.
Let AI assist with implementation.
Review every line of generated code.
Test thoroughly before deployment.

AI saves time.

Developers ensure quality.

Skills That Matter More Than Ever

The AI era has shifted the skills developers should prioritize.

Instead of memorizing syntax, focus on learning:

System Design
Software Architecture
Problem Solving
API Design
Database Design
Debugging
Performance Optimization
Security Best Practices

These are the skills that make developers valuable.

AI Is a Productivity Tool

Think about Git.

When Git became popular, developers weren't replaced.

They simply became more productive.

AI is following the same path.

It removes repetitive work so developers can focus on solving complex business problems.

Adapt or Get Left Behind

Technology never stops evolving.

Programming languages evolve.

Frameworks evolve.

Development practices evolve.

AI is simply another step in that journey.

Developers who continue learning and adapting will always stay relevant.

Final Thoughts

Don't fear AI.

Don't blindly trust it either.

Understand your system.

Review every AI-generated solution.

Use AI to accelerate development while you focus on architecture, scalability, and business logic.

The future belongs to developers who combine human creativity with AI productivity.

Happy coding!

Software Testing: Why Every Great Software Product Starts with Quality Testing

Tech Tales — Fri, 10 Jul 2026 05:48:23 +0000

** Software Testing: Why Every Great Software Product Starts with Quality Testing**

Software powers almost every aspect of our daily lives—from mobile apps and banking platforms to healthcare systems and enterprise software. But building software isn't just about writing code. It's about delivering a product that is reliable, secure, and easy to use.

That's where Software Testing comes in.

Testing is a crucial phase in the Software Development Life Cycle (SDLC) that ensures applications work as expected before they reach end users. Without proper testing, even well-written software can contain bugs, security vulnerabilities, and performance issues that affect user experience and business reputation.

Let's explore why software testing matters and how it contributes to building high-quality software.

What is Software Testing?

Software testing is the process of evaluating a software application to verify that it meets business requirements, functions correctly, and performs reliably under different conditions.

The main objective of software testing is to identify bugs, validate functionality, improve software quality, and ensure users receive a smooth experience.

Rather than simply finding defects, testing helps teams deliver software with confidence.

Why is Software Testing Important?

Imagine releasing an application where users cannot log in, payments fail, or data gets lost. These issues can lead to customer dissatisfaction, financial losses, and damage to a company's reputation.

Effective software testing helps prevent these problems by ensuring applications are thoroughly validated before deployment.

Benefits include:

✔ Improves software quality
✔ Detects bugs early
✔ Enhances user experience
✔ Reduces maintenance costs
✔ Improves application security
✔ Builds customer trust

Quality software doesn't happen by accident—it happens through testing.

Types of Software Testing

1. Manual Testing

Manual testing is performed by QA engineers without using automation tools.

Testers execute test cases manually and verify that every feature behaves as expected.

Common use cases:

Exploratory Testing
Usability Testing
UI Validation
Functional Verification

Manual testing provides valuable human insights that automation cannot always replace.

2. Automation Testing

Automation testing uses scripts and testing frameworks to execute test cases automatically.

It is especially useful for repetitive testing tasks and large applications where frequent updates are released.

Advantages

Faster execution
Higher accuracy
Reduced human effort
Reusable test scripts
Ideal for Regression Testing
Supports CI/CD pipelines

Automation enables teams to release software faster without compromising quality.

3. Functional Testing

Functional testing ensures every feature works according to business requirements.

Examples include:

User Login
Registration
Payment Gateway
Search Functionality
Form Validation
Dashboard Features

Its purpose is to confirm that every function performs exactly as expected.

4. UI Testing

A visually appealing application is important—but usability matters even more.

UI Testing verifies that the application is:

Responsive
User-friendly
Easy to navigate
Consistent across devices
Compatible with multiple browsers

A well-tested interface significantly improves customer satisfaction.

Key Benefits of Software Testing
**
**Better Software Quality

Testing helps deliver reliable and stable applications.

Early Bug Detection

Finding defects during development is much less expensive than fixing them after deployment.

Enhanced User Experience

A bug-free application creates happier users and improves retention.

Reduced Development Costs

Early testing minimizes costly production issues and maintenance.

Improved Security

Testing helps identify vulnerabilities before they become serious threats.

Increased Customer Satisfaction

Reliable software builds trust and strengthens brand reputation.

Software Testing in the SDLC

Modern development teams perform testing throughout the Software Development Life Cycle instead of waiting until development is complete.

Typical testing stages include:

Requirement Analysis
Test Planning
Test Case Design
Test Environment Setup
Test Execution
Bug Reporting
Retesting
Regression Testing
Final Quality Assurance

Continuous testing helps teams catch issues early and maintain high software quality.

*Best Practices
*
Here are a few best practices every development team should follow:

Start testing early.
Write detailed and reusable test cases.
Combine manual and automation testing.
Perform regression testing after every update.
Test across multiple devices and browsers.
Continuously improve test coverage.

Following these practices results in more reliable software and happier users.

Conclusion

Software testing is much more than identifying bugs—it's about delivering reliable, secure, and high-quality software that users can trust.

Whether you're building a web application, mobile app, SaaS platform, or enterprise solution, investing in quality assurance is essential for long-term success.

Testing saves time, reduces costs, improves customer satisfaction, and ensures your software performs exactly as intended.

About Scode Software Solutions

At Scode Software Solutions, quality is at the core of everything we build.

Our QA team specializes in:

Manual Testing
Automation Testing
Functional Testing
UI/UX Testing
Regression Testing
Performance Testing
End-to-End Quality Assurance

We help businesses deliver secure, scalable, and high-performing software with confidence.

*Thanks for Reading! *

Mastering State Management in React with Redux Toolkit

Tech Tales — Mon, 06 Jul 2026 07:17:59 +0000

Mastering State Management in React with Redux Toolkit

If you've been building React applications for a while, you've probably encountered the challenge of sharing data between multiple components. While React provides built-in state management using useState and useContext, larger applications often require a more structured solution.

That's where Redux Toolkit comes in.

Redux Toolkit (RTK) is the official and recommended way to write Redux applications. It simplifies state management by reducing boilerplate code while making your application more predictable, scalable, and easier to maintain.

Let's dive in!

What is Redux?

Redux is a state management library that stores your application's shared data in a centralized location called the Store.

Instead of passing data through multiple components using props (also known as prop drilling), Redux allows any component to access the data directly from the store.

Think of it as a single source of truth for your application.

For example, your Redux Store might contain:

User Information
Shopping Cart
Theme Settings
Notifications

Every component can access this shared data whenever needed.

Why Do We Need Redux?

Imagine building an e-commerce application.

App
├── Home
├── Products
├── Cart
├── Checkout
└── Profile

When a user adds a product to the cart, multiple pages need access to the same cart information.

Without Redux:

Data is passed through several components.
Components become tightly coupled.
Prop drilling increases.
Code becomes difficult to maintain.

With Redux:

      Redux Store
  --------------------
  | Cart Items        |
  | User Details      |
  | Theme             |
  --------------------
    /      |      \
   /       |       \
Home     Cart    Checkout

Every component accesses the same centralized store.

Simple.
Clean.
Scalable.

Benefits of Redux

Using Redux offers several advantages:

✅ Centralized State Management
✅ Eliminates Prop Drilling
✅ Predictable State Updates
✅ Easier Debugging
✅ Better Code Organization
✅ Scalable Architecture
✅ Easier Maintenance

These benefits become especially valuable as your application grows.

Core Concepts of Redux

Redux is built around five simple concepts.

1️⃣ Store

The Store is where your application's global state lives.

Example:

javascript
{
user: {
name: "John"
},
cart: [],
theme: "dark"
}

2️⃣ State

State represents the current data stored inside the Store.

const initialState = {
  count: 0
};

Whenever users interact with your application, the state changes accordingly.

3️⃣ Action

Actions describe what happened.

Example:

{
  type: "INCREMENT"
}

Actions can also carry additional data.

{
  type: "ADD_PRODUCT",
  payload: {
    id: 1,
    name: "Laptop"
  }
}

4️⃣ Reducer

Reducers decide how the state should change.

const counterReducer = (state = { count: 0 }, action) => {
  switch (action.type) {

    case "INCREMENT":
      return {
        count: state.count + 1
      };

    default:
      return state;
  }
};

Reducers always return a new state without modifying the existing one.

5️⃣ Dispatch

Dispatch sends actions to Redux.

dispatch({
  type: "INCREMENT"
});

Redux then:

Receives the action
Runs the reducer
Updates the store
React re-renders affected components

Redux Data Flow

Redux follows a very predictable one-way data flow.

User Clicks Button
        │
        ▼
Dispatch Action
        │
        ▼
Reducer
        │
        ▼
Update Store
        │
        ▼
React Component Re-renders

This predictable architecture makes debugging much easier.

Installing Redux Toolkit

Installing Redux Toolkit is straightforward.

npm install @reduxjs/toolkit react-redux

Recommended Project Structure

Keeping your project organized is just as important as writing clean code.

src
│
├── app
│   └── store.js
│
├── features
│   └── counterSlice.js
│
├── components
│   └── Counter.jsx
│
└── main.jsx

Feature-based organization keeps Redux logic modular and easy to maintain.

Why Redux Toolkit?

Classic Redux required writing a lot of repetitive code.

Redux Toolkit solves this problem.

Advantages of Redux Toolkit

Less boilerplate
Simple configuration
Built-in Immer support
Cleaner reducers
Better performance
Officially recommended by the Redux team

Today, there's very little reason to start a new project with classic Redux instead of Redux Toolkit.

Best Practices

To keep your Redux applications clean and scalable:

Use Redux Toolkit instead of classic Redux.
Store only global state in Redux.
Keep component-specific UI state local whenever possible.
Organize logic using feature slices.
Use selectors to access state.
Avoid mutating state directly.

Following these practices results in applications that are easier to maintain over time.

When Should You Use Redux?

Redux is a great choice when:

Multiple components share the same data.
Your application has complex state management.
You need predictable state updates.
You're building medium or large-scale applications.
Debugging state changes is important.

For smaller projects, React's built-in useState and useContext are often enough.

Conclusion

Redux Toolkit has become the standard approach for state management in modern React applications.

By providing a centralized store, predictable state updates, and a cleaner development experience, it allows developers to build scalable and maintainable applications with confidence.

Whether you're building an e-commerce platform, an admin dashboard, or an enterprise-level application, Redux Toolkit is a valuable tool that every React developer should know.

Happy Coding!