DEV Community: Jessica Spector

Importance of Design in React for Chatbot Development

Jessica Spector — Thu, 04 May 2023 06:08:04 +0000

Is it possible to handle multiple customers on React app with the help of Chatbot? If you handle human resources to handle customers, it takes more and more resources because it’s not enough to get one inquiry at a time. It goes on more and will never end.

React for Chatbot development is critically dependent on design. The user experience, scalability, and brand reinforcement can all be improved with a well-designed Chatbot. Developers can easily manage, maintain, and customize Chatbots if they adhere to component-based design, state management, and performance optimization principles. A well-designed Chatbot can also help boost user engagement and happiness, promoting client retention and loyalty. In general, organizations may build effective Chatbots that offer their consumers value by investing in design for Chatbot development in React.

While developing React for Chatbot one thing I have noticed is that it’s a lot of fun to develop new things, and that gives great looks. And that’s why I integrate the Chatbot with React. Let’s start with the principles of Chatbot development and design principles of Chatbot development.

Development Principal of Chatbot with React
These are the most potential while developing the Chatbot. The development principle is the most followed rule while developing a Chatbot in React. Let's address each topic individually and discuss them sequentially.

User-Centered Design: The first principle is to design the Chatbot with the user in mind. The bot should be easy to use and understand. The interface should be intuitive, and the Chatbot should provide valuable and relevant information to the user. The bot should be able to understand natural language and provide helpful responses to the user.
Modularity: Another principle is modularity, breaking the Chatbot into smaller modules. It also allows for easier scaling of the Chatbot as new features can be added without affecting the existing codebase.
Flexibility: A Chatbot should be flexible and adaptable. It should be able to handle various inputs and respond in a way that makes sense to the user. The bot should also be able to handle changes in the user's needs and preferences.
Continuous Improvement: The final principle is continuous improvement. A Chatbot should be updated regularly with new features and improvements based on user feedback. This ensures that the Chatbot stays relevant and useful to the user. Regular updates also help to improve the Chatbot's performance and accuracy.

Design Principal of React for Chatbot
In React app which are you shown in app. It’s all about the front and that truly follows design principles is important because the user mainly shows the design in the application, and it’s more significant chances of customer engagement. Would you consider it?

Let's have a thorough conversation about this matter.

Component-Based Design: React is built on a component-based architecture, which allows for creating reusable and modular UI components. React for Chatbot UI can be broken down into. This facilitates easy customization and scalability and makes code management and maintenance easier.
State Management: Building a chatbot requires controlling the application's state, which React offers. The Chatbot state can include the user's input, the bot's response, and any context or history associated with the conversation. Managing this state ensures that the Chatbot behaves correctly and consistently.
Data Flow: According to React's unidirectional data flow, data only moves in one direction, from the parent component to the child components. This ensures that the Chatbot UI remains predictable and consistent.
User Interaction: React provides a way to handle user interaction with the Chatbot. This includes handling input from the user, triggering events, and updating the UI in response to user actions.
Performance Optimization: React provides several tools for optimizing the Chatbot's performance, including virtual DOM, lazy loading, and code splitting. These tools help to ensure that the Chatbot is fast and responsive, even when handling large amounts of data or complex interactions.

The success of a Chatbot is directly related to its design in today's extremely competitive market. Users may become frustrated and perplexed with a Chatbot that is badly developed, which will create a negative impact on the brand.

Wrap Up
In React, design is an essential element of Chatbot development. As Chatbots become increasingly commonplace daily, they must provide a seamless and simple user interface. Developers may easily manage and maintain Chatbots by adhering to design concepts like modularity, data flow, and user engagement. Additionally, a well-designed Chatbot can boost user engagement and reinforce branding, resulting in greater customer satisfaction and retention.

On the other hand, a well-designed Chatbot can set a company apart from its rivals and provide users with an exceptional value proposition. Businesses can invest in design for Chatbot development in React for Chatbot to appeal to the eye and engage.

Step-by-step Tutorial: Understanding Browsershot Laravel

Jessica Spector — Wed, 12 Apr 2023 05:33:50 +0000

Nowadays, technology will update faster than ever. The latest benefit is enabling the user to download pdf and png files of a webpage easily. The best technology for mobile application development is Browsershot Laravel to convert web pages into images or pdf.

Introduction of Laravel Browswershot

Talking about Latest Browsershot Laravel is an open-source Laravel package that provides a simple way to automate the generation of website screenshots using Headless Chrome. It is built on the Laravel framework and follows architectural patterns and principles.

Moreover, the Browsershot package follows the Model-View-Controller (MVC) architecture pattern, which is the core architecture pattern of the Laravel framework.

Laravel Architecture Logic into Three Interconnected Components:

The model: This represents the data and business logic of the application. In the case of Browsershot, this would include the configuration of the Chrome instance and the screenshot generation settings.
The view: This represents the user interface of the application. In the case of Browsershot, this would include the rendered screenshot of the target website.
The controller: This acts as the intermediary between the model and the view. It handles user requests and updates the model and view accordingly. In the case of Browsershot, this would include the instantiation of the Browsershot class and the execution of the screenshot generation process.

Following these architectural principles and patterns, Browsershot provides a simple and intuitive way to automate website screenshot generation within a Laravel application.

The Browsershot Package Consists of Three Leading Roles:

There are three main components of the browsershot in Laravel, which helps you to integrate data of targeted websites and images. Following are the use for clean API and smooth running applications.

The Browsershot class is the main class responsible for interacting with Headless Chrome to generate website screenshots. It handles the Chrome instance's configuration, the target website's navigation, and the screenshot's capture.
The Browsershot facade: This provides a simple and clean API for developers to interact with the Browsershot class without having to instantiate it manually. It exposes methods such as url() and fullPage() to configure the screenshot generation process.
The Browsershot service provider is responsible for registering the necessary dependencies and configurations for the package to work correctly within a Laravel application. It provides access to the underlying Chrome instance and installs the required drivers and dependencies.

Tutorial Guide to Generate PDF Using Browsershot Laravel

Sure, here is a step-by-step guide on how to use the Browsershot Laravel package to generate PDFs from website screenshots:

Step 1: Install the Browsershot package
The first step is to install the Browsershot package using Composer. Run the following command in your terminal:

composer require spatie/browsershot

Step 2: Configure the package
Next, you must configure the Browsershot package by publishing its configuration file. Run the following command:

php artisan vendor:publish --provider="Spatie\Browsershot\BrowsershotServiceProvider" --tag="config"

This will publish the configuration file to config/browsershot.php.

Step 3: Generate a PDF from the website screenshot

Once the package is installed and configured, you can use the pdf() method to generate a PDF from a website screenshot. Here's an example:

use Spatie\Browsershot\Browsershot;
Browsershot::url('https://example.com')
    ->pdf()
    ->save('example.pdf');

In this example, we're generating a PDF from the example.com website and saving it as example.pdf.

You can also pass additional options to the pdf() method to customize the PDF generation process. For example, you can set the page size, margin, and orientation using the page width (), page-height (), margin(), and landscape() methods respectively. Here's an example:

use Spatie\Browsershot\Browsershot;
Browsershot::url('https://example.com')
    ->pdf()
    ->pageWidth(210)
    ->pageHeight(297)
    ->margin(10, 10, 10, 10)
    ->landscape()
    ->save('example.pdf');

This will generate a landscape PDF with a page size of A4 (210mm x 297mm) and 10mm margins on all sides.

Step 4: View the generated PDF
Once the PDF is generated, you can view it using any PDF viewer. In our example, the PDF was saved as example.pdf, so you can view it by opening that file in a PDF viewer.

And that's it! You have now successfully generated a PDF from a website screenshot using the Browsershot Laravel package.
To know more about testing, outcomes, and advanced technics. You can fine-tune how you will catch and get your Laravel application more flexible and scaled. Read this blog to learn further about Browsershot Laravel.

Conclusion

In a nutshell, the Browsershot Laravel package provides a simple and intuitive way to automate website screenshot generation and PDF generation using headless Chrome. Following the steps outlined in this guide, you can easily install, configure, and use the package to generate PDFs from website screenshots in your Laravel application.

Overall, Browsershot is a powerful and flexible package that can be used in various applications, including web scraping, automated testing, and more. Its seamless integration with the Laravel framework and adherence to established architectural patterns and principles make it an excellent choice for developers looking to streamline their website screenshot and PDF generation workflows.

Python for Automation: A Step-by-Step Guide to Automating Tasks

Jessica Spector — Mon, 27 Mar 2023 10:00:59 +0000

Python is a high-level programming language widely used for automation tasks due to its simplicity, versatility, and ease of use. Python can be used to automatic numerous tasks, including data processing, web scraping, file management, and more. In this tutorial, we will conduct you through the process of automating tasks using Python. Know the top process and their types with the rich libraries and their automation types.

Below steps guide you to Python for automation processes based on the needs and requirements. And this can help you to get started with Python for automation.

Python for Automation Types

These are the top process to automate your task:

Data Extension and Scraping: Web scraping and data extension is the best process for extensive data management. Which is fruitful for gathering information for research, analysis, execution, and reporting.
Data analysis and visualization: Python is one of the popular data analysis and visualization languages. With the most potent libraries like Numpy, Pandas and Ta-Lib. For fast and efficient data visualization and analysis.
Task automation: Python can automate repetitive tasks such as sending emails, downloading files, performing backups, and so on. Python's libraries, such as Schedule and Time, allow scheduling and automating tasks.
Data Cleaning and Preprocessing: Python can be used for data preprocessing and cleaning. Python library enables the cleaning and manipulation of data to make it usable for analysis and modeling. Python's libraries, such as Scikit-learn, also allow for data preprocessing tasks such as scaling, normalization, and feature selection.

How to Automate Tasks Using Python?

Python has several uses, but here we will discuss how to use Python for automation. So, let's understand how Python automates tasks. Here is a basic understanding of the step-wise process:

Identify the manual task
Choose Python module
Write Python script for automation
Schedule a task
Test & refine

Python for Automation Step-by-step process example

Say, you have a long list of unorganized and disordered files of names, and you want to alphabetically rename them. Here is a step-wise procedure to perform this task.
Step 1: Import required third-party libraries
For automating and organizing the names systematically and alphabetically, “OS” and “RE” libraries would be required.

import ‘os’ import ‘re’

Step 2: Locate the path files containing folder

folder_path = '/path/to/folder'

Step 3: Make sure to define the remaining functions
With the Python code below, you would be able to rename all the files starting with the number and original file name. In this case, a regular expression would be used to fetch the filename and add it with a new prefix.

def rename_files(folder_path): # Get a list of all files in the folder files = os.listdir(folder_path) # Loop through each file and rename it for filename in files: # Extract the filename from the full path basename = os.path.basename(filename) # Use a regular expression to split the filename into parts parts = re.split(r'(\.[^.]+$)', basename) # Construct the new filename new_name = f"{len(files):02d}_{parts[0]}{parts[1]}" # Rename the file os.rename(os.path.join(folder_path, filename), os.path.join(folder_path, new_name))

Step 4: Make sure to call the function
Now that file names are defined under ‘rename_files’ function, let’s rename all the files containing in the folder.

rename_files(folder_path)

Doing this would rename all the files.

Conclusion

All-embracing, when it comes to intelligence and automation Python will be best choice for the developers it can be used for a wide range of automation processes. From data extraction and web scraping to data analysis and visualization, task scheduling and automation, machine learning, and data cleaning and preprocessing.

Python's powerful libraries and ease of use make it an ideal choice for automation tasks. By automating these processes with Python, businesses and individuals can save time and resources, increase productivity, and improve efficiency. you can become a master of automation and streamline your workflows for maximum efficiency. So, Hire Python programmer today and take your automation skills to the next level!

Want to know What’s New in Laravel 10!

Jessica Spector — Tue, 07 Feb 2023 10:40:43 +0000

Laravel 10 is a free, open-source PHP web framework for web application development. It follows the Model-View-Controller (MVC) architectural pattern and is built on top of the PHP programming language. Laravel is known for its elegant syntax, high security, and robust tools for everyday tasks such as routing, authentication, and caching. Laravel 10 was released on September 2021, including new features, bug fixes, and performance improvements.

Why should I upgrade to laravel 10?
Upgrading to a newer version of Laravel provides several benefits, including:

Security updates: Newer versions of Laravel include security patches and bug fixes to prevent potential attacks.
Improved performance: Each new version of Laravel is optimized for performance and speed, allowing your application to run faster.
New features: Upgrading to a more recent version of Laravel gives you access to new and improved features, making it easier to develop and maintain your application.
Better compatibility: Upgrading to the latest version of Laravel ensures better compatibility with other software and tools you might be using.

Upgrading Laravel to the latest version will improve your application's security, performance, and functionality.

Tips for updating Laravel 10
Here's the general process for upgrading Laravel from a previous version to version 10:

Backup your application: Before making any changes, creating a backup is essential in case something goes wrong.
Check compatibility: Check if any dependencies or packages are compatible with Laravel 10.
Update dependencies: Update your dependencies by running composer update in your terminal.
Update Laravel: To upgrade Laravel, you can run composer update laravel/framework.
Update your code: After updating Laravel, you will need to update your code to be compatible with the new version. Review the release notes and upgrade guide for Laravel 10 to see if there are any breaking changes.
Test your application: Once you have made the necessary updates, run your tests to ensure everything is working as expected.
Deploy to production: If everything is working as expected, you can deploy your upgraded application to your production environment. Note: The exact process may vary depending on the specifics of your application, so it's recommended to consult the Laravel documentation for more detailed instructions.

Conclusion
In conclusion, Laravel 10 is a robust and widely used PHP framework that offers developers a wide range of tools and features to build robust and scalable web applications. Its latest version, Laravel 10, brings several new features, improvements, and bug fixes, making it even easier for developers to create high-performance web applications. Additionally, its active community, extensive documentation, and continuous updates make it a popular choice among developers. Whether a seasoned programmer or just starting, Laravel 10 offers everything, you need to build modern and dynamic web applications.

Several Actionable tips to Improve the performance with Java Microservices

Jessica Spector — Tue, 17 Jan 2023 10:55:41 +0000

Java microservices is the best software application that covers a wide range of tools, frameworks, and economies leveraged by the broad market. In the nearest time, Microservices is more adopted by developers and organizations which target broad scales. Large-scale start-ups are complex execution and integrations embraced by Microservices.

One of the Most grabbed attention technology is Java. This article covered the java microservice benefits, functionality, and architecture.

What are Java Microservices?
The microservices process is very similar to manufacturer gathering there every microservices is like a stopping place in the assembly. It’s individually divided tasks into particular stations. Each microservice is responsible for its specific efficiency, consistency, and quality in that flow and given conclusions. The manufacturing ecosystem process is responsible for building the overall product, comparable to a monolithic base software app run simultaneously in the process.

Now that we are familiar with Java Microservices let's examine the Java Microservices Architecture:

What Makes Java A Good Option For Microservices?
Microservices in Java is based on architectural principles in Java language. This allows utilizing the advantages of the biosphere in java frameworks and their tools and libraries, which helps to convey the best-of-the-best solution.
The below points justify why we use java microservices.

Applicable Syntax and Standard Java notation is an easy-to-access and beginner-friendly language, which makes it easy to access while developing the application. However, features like Java standard support microservice architecture, JPA supports data handling, JAX-RS APIs, Dependency Injection, context support component, and lifecycle management, etc.

Java is better reliable at work with substantially complicated systems. To deploy and develop the high additional data use microservices in Java.

Microservices monolith
Microservice is primarily used in Java. Also, we can be called it conversely. To face a modern days challenge, most people are using Java. To adopt new technologies, they use a whole application to remodify from scratch differently. Which takes a lot of time, budget, and resource for the entire process execution.
Greater Simplicity equates to Smaller Problems.
What makes it simple is the process when dividing the process into small segments that load heavy rotation too quickly. Microservices are most beneficial for simplifying the process of managing services. It’s made simplifies the whole process.

- Rapid development
Java microservice processes use less time to apply than other technologies. Finding the virus and bugs is tedious for the whole run process. This short-time process advantage is to make a readily available site in the market and take a business to the next step ahead and success.

Using Microservices in Java best suits Modularity, Resilience, Scalability, Language Agnosticism, Decentralized Governance, Versioning, DevOps Friendly, and API-driven. As discussed in the blog article, Java Microservices is an addition to the conventional microservices architecture that uses the Java programming language to implement the technique. Which is notable for looking for multiple factors. To learn more, click the aforementioned link.

E-commerce Web App Using React Storefronts Build & Deploy an Amazing App

Jessica Spector — Mon, 09 Jan 2023 07:05:00 +0000

React Storefront is an open-source JavaScript library for building fast, reliable, scalable e-commerce websites. It is built on top of React, a popular JavaScript library for building user interfaces, and integrates with various e-commerce platforms and back-end systems. React Storefront aims to make it easy for developers to build performant e-commerce websites that deliver a great user experience on desktop and mobile devices.

Some of the critical features of React Storefront include the following: server-side rendering, automatic code splitting & support for offline-first and progressive web app (PWA) development.

Here are some of the key features of React Storefront:

Server-side rendering: React Storefront uses server-side rendering to improve the performance and SEO of your e-commerce website. This means that the initial HTML of your website is generated on the server rather than being generated by JavaScript running in the user's browser. This can load your website faster, especially on slower devices or networks.
Automatic code splitting: React Storefront automatically splits your code into small chunks so that the user's browser downloads only the code needed to render the current page. This can reduce the initial load time of your website, and also make it easier to deliver updates to your users without requiring them to download the entire codebase.
Offline-first support: React Storefront makes it easy to build offline e-commerce websites using service workers and other technologies. This can be especially useful for users with limited or unreliable internet access or who want to browse and make purchases on your website even when they are not connected.
Progressive web app (PWA) support: React Storefront can build e-commerce websites that behave like native mobile apps, using techniques such as push notifications and offline support. This can improve the user experience and increase engagement with your website.
Integration with popular e-commerce platforms: React Storefront can be used with various e-commerce platforms, including Magento, Shopify, and Salesforce Commerce Cloud (formerly Demandware). This makes it easy to build e-commerce websites powered by your existing platform.

E-Commerce Web App Using React Storefronts Advantages
Here are several benefits of using React Storefront for your e-commerce website:

Improved performance: React Storefront is designed to be fast and performant, which can help improve the user experience and increase conversions on your website. Server-side rendering and code splitting can reduce the initial load time of your website. At the same time, offline-first support can make it more reliable and available to users, even when they are not connected to the internet.
Better SEO: Server-side rendering can help improve the SEO of your website by generating the initial HTML on the server rather than relying on JavaScript to generate it in the user's browser. This can make it easier for search engines to crawl and index your website and improve your website's performance for users with slower devices or networks.
Enhanced user experience: React Storefront is designed to provide a great user experience on desktop and mobile devices. Its support for offline-first and PWA development can help improve the reliability and accessibility of your website, and its integration with popular e-commerce platforms can make it easier to build and manage your website.
Reduced development time: React Storefront can help reduce the time it takes to build and maintain an e-commerce website, thanks to its integration with popular platforms, automatic code splitting, and other features that make it easier to develop and manage your website.
Open-source: React Storefront is an open-source library that is free to use and modify. This can make it an attractive option for developers who want to build an e-commerce website on a budget or customize the library to fit their needs.

Verdict
We have finally concluded the article, so let's quickly review everything. To hasten the development, there are many different e-commerce storefronts.

Whichever option you select will all lessen the development effort by giving you a starting point. Some may even offer the necessary components that your e-commerce application can utilize immediately. To choose a Storefront, you must be aware of all associated fees.

So many ways to understand the ways to modify your storefront with react or the customization development of React storefront. This article meets your expectation to know more use cases and technical tutorials of E-Commerce Web App Using React Storefront connect now. If you explore any other ways of React storefront, please comment below.

Happy coding!

Cost Of Hire Artificial Intelligence Developer In 2022

Jessica Spector — Wed, 25 May 2022 11:21:56 +0000

With the rise of automation, there is no escape from Artificial intelligence in all the sectors. Numerous AI services can help you elevate your business. You'll need to figure out how to hire AI developer, let me help you with it. There are so many ways like: freelance a developer, contact recruiting agencies, and outsourcing developer. But, Outsourcing developers from a reputable firm is one of the most convenient options.

Now you're faced with a major dilemma like, how much does it cost to hire AI engineers? Also, How do you hire the right one under budget? And the list goes on. No need to worry, all your queries will be answered.

Let's begin!

Hiring Costs for AI Developers: Factors to Consider
According to developers' skills and real-time experience, cost is a very important factor. In the IT industry, The developer's cost must consider the workload, project complexity, and ability to meet deadlines. In addition, there are a few generic criteria, such as location, type of project, seniority of developers and so many other criterias that vary from company to company.

Here are the list of country and their average cost to hire:

United States of America - $100 - $200/hr
United kingdom - $100 - $300/hr
Ukraine - $100 - $199/hr
Australia - $100 - $199/hr
Canada - $70 - $199/hr
India - $25 - $99/hr

So, when looking at the typical range for hire AI developer, we can see that India has the lowest cost per hour. Speaking of this country-India, there is one leading AI development company, having 20+ AI engineers in their team. They provide incredibly experienced and skilled AI developers with an average of 4 to 8 years of experience. So, if you're wondering where to get AI talents, bacancy is the place to be.

Let's take a look at some of the factors to consider when hiring:

Size of project
Skills and Experience
App Complexity and Features

Size of Projects

The cost of designing an app is decided by the needs of the organization or project needs. Small, medium and enterprise-level initiatives are three types of projects that fall under this category.

Small Size Project-
Small projects don't have many requirements or complex features. Startups and small to mid-sized businesses are examples of small projects that Artificial Intelligence programmers can complete quickly.
Medium size projects -
Mid-size projects have more requirements than smaller projects since they require third-party connectors and APIs to make them more accessible. Some third-party connectors are fee-based, increasing the costs of development.
Enterprise-level projects -
For enterprise-level projects require dedicated developers with advanced skills. It's also necessary for QA testing and technical assistance. These enterprise-level projects usually have specific needs that necessitate extra work, increasing app development costs.

Skill and Experience
The engineer's experience is one of the most important factors that influence the cost of recruiting. Below the list is the required skill of AI developers. It might affect cost.

Having strong knowledge of
programming languages,
Linear Algebra and Statistics,
Signal Processing Techniques,
Neural Network Architectures, and
Natural Language Processing (NLP)

are the comprehensive skills the AI developer should know.

App complexity and features
The cost of your application is determined by how you choose to create it. If you want to imply more advanced features, it will increase accordingly. As a result, business owners must keep their budgets high to produce more effective, user-friendly applications or software considering app complexity and functionality.

Wrapping Up
I hope you have gained a clear grasp of how much it costs to hire Artificial Intelligence developers due to your visit to this blog post. With the help of this blog, you can turn your out-of-the-box idea into reality.

What Technical Stack (Skills) Should You Look For While Hiring an AI Developer?

Jessica Spector — Tue, 10 May 2022 11:00:21 +0000

Introduction

It is important to have the right AI talent in your project when you have an out-of-the-box idea on Artificial intelligence. In my opinion, having a full-stack AI engineer can turn your project idea into reality.

So, whenever you need to augment your team with AI developers or hire AI developer separately who can work on your idea from scratch, you should look for the skills mentioned below.

Below mentioned tech stacks are a must-have, and AI developers should have hands-on experience using the same. It is not necessary to have experience using it all, but it is good to know it.

It would be best to ask questions on the tech stack mentioned below to an AI developer while interviewing to ensure that you have the right AI tech talent in your team/project.

So without wasting much time, let me mention it here.

Technical expertise an AI developer should have:

1. Programming Languages

Python
R
Scala
SQL
C++
LISP
PROLOG
RUST
Haskell

All of the languages mentioned above are excellent choices for Artificial Intelligence projects. With a basic grasp of the project, you can easily select the most appropriate language and boost your project efficiency.

2. Frameworks
TensorFlow and Scikit-learn SciPy are the most used frameworks.

3. Fields

Natural Language Processing (NLP)
Computer Vision
Recommendation systems
Tabular data analysis
Signal Processing

4. Libraries

OPENNN
Neuroph, Sonnet
Scikit-learn
Tensor2
Tensor
tf-slim
Apache Spark MLlib

5. DBMS

Relational (MS SQL, PostgreSQL, MySQL)
Non-relational (MongoDBCouchDB, Cassandra, etc.)Distributed (Hadoop etc.)

6. Packages

CUDA
OpenCL

7. Neural Networks

Deep Q-Network (DQN )
Convolutional and recurrent neural networks (LSTM, GRU, etc.)
Generative adversarial networks (GANs)
Feedforward Neural Network
Autoencoders (VAE,DAE SAE, etc.)
Radial basis function network
Modular neural network

Conclusion:
Now, you know what you need to ask an AI developer. And yes, I have mentioned a few and most preferred tech stacks. Because every project requires different skills, do not judge the developer/company with the tech mentioned above the stack. This blog is written for the general tech stack required while hiring an AI developer. For better outsourcing, You have to share your requirements and hire the developers from trusted companies accordingly.