Devtorium UI/UX Design Services: What We Can Do for You

Surprisingly, the majority of people have very little idea of what exactly is included in the UI/UX design services they purchase from specialized providers like Devtorium. Of course, in the end, you get the design of the app or other materials you’ve requested. However, this type of service is much more expansive and covers many processes, from market research to branding.

Today, we’d like to explain what’s included in a comprehensive design package using Devtorium UI/UX design services as an example. From the post below, you’ll learn what UI/UX and graphic designers can do for you and how you can use their services to help your business at any stage of development.

Devtorium UI/UX Design Services: How We Create Web Designs

Our designers start with research to create a stunning, visually appealing, user-friendly design. In fact, the stage during which the UI/UX designer creates the visuals usually takes less time than preparation. The quality of work you put in during the research and planning stages determines whether your product can deliver a superb customer experience.

No one can argue that design affects user retention. Therefore, it’s one of the crucial success factors in our world of information overload. In order to deliver outstanding UI/UX design services, the Devtorium team takes the following steps.

How Devtorium UI/UX design services work.

Digital and website discovery (General User needs research)

Our team starts the design process by conducting discovery sessions. At this time, we gather requirements and brainstorm ideas to understand the underlying purpose behind your digital goals. These sessions allow us to clearly outline the client’s needs and help align our strategies with your objectives.

During this stage, we perform:

  • Competitor research
  • Field research
  • User personas and user stories study

Digital and website strategy (Information Architecture)

We start designing solutions once we thoroughly understand the client’s goals and challenges. At this stage of Devtorium’s UI/UX design services, our team will create wireframes and customer journey maps. This way, we can define the high-level structure of screen layouts, flow, behavior, and organization. These outputs visually represent our proposed solutions and help us envision how the identified problems can be addressed effectively.

Our primary goal is to lay out content and functionality on each page strategically. We aim to maximize usability and user experience. To achieve this, we first build informational architecture:

  • Organise, structure, and label content, functions, and features
  • Choose between different design patterns for content layout
  • Use design patterns for content
  • Map out website and content 
  • Plan site navigation

After the architecture is complete, we create wireframes that the client can effectively use when attracting investors.

How Devtorium UI/UX designers work.

Digital and website design development (User interface prototyping)

With the website architecture complete, we can provide the rest of the innovative UI/UX design services and branding package. Depending on the client’s requirements, we can build a visual brand style from scratch or use their existing one. During this stage, we use tools like style tiles, mood boards, and prototyping to facilitate the process.

Devtorium’s design services also include graphic design, which covers the creation of:

  • Brand and identity
  • Logo
  • Marketing collateral

When working within the premise of our UI/UX design services, we can also leverage video and photos to enhance the website’s reach and engagement.

Why invest in UI/UX design services from Devtorium.

Why It Pays to Invest in Creative UI/UX Design Services

We live in an era where everything is lightning fast, and you only have one chance to make an impression. Your product can be extraordinary and offer hundreds of solid benefits. However, if you can’t capture the client’s attention enough to slow down and learn about it, you’ll lose them.

According to research published in the Behaviour and Information Technology Journal, you have only 0.05 seconds to make a favorable first impression. 50 milliseconds is all it takes to form an impression in the brain of a modern information-overloaded person. If that impression isn’t enough to capture their interest to pursue further study of your product, your chances of conversion are slim.

That’s how important great design is, and if you want people to keep using your products, you must provide a stellar user experience. It really is that simple today. Therefore, above all else, you must never skimp on making your product as user-friendly, intuitive, and attractive as possible. If you want to make your product that way, contact us for a free consultation!

If you are interested in more design topics, check out some of our other posts:

Devtorium R&D Department: Meet the People

As you already know, Devtorium has a Research and Development Department that helps our team understand and master cutting-edge technologies. Currently, they are focusing on AI and Machine Learning and have workshops that anyone willing to learn can join.

Today, we’d like to tell you more about the Head of R&D, Oleksii Makarov, and the amazing team the Department has already assembled.

Oleksii Makarov: Head of Research and Development Department in Devtorium.

Oleksii Makarov: Solution Architect/Head of Research and Development

Oleksii is Devtorium’s leading expert in AI and ML technology, who loves to share his knowledge as much as he enjoys learning new technologies. He has 24 years of experience in development, and over this time, Oleksii has worked with multiple projects and technologies, including:

  • Developing desktop applications for Windows (C++)
  • Web development (.NET)
  • Front-end development (HTML, JavaScript, React, NodeJS)
  • Deep Learning and AI (Python)

For the last seven years, Oleksii has been dealing with Machine Learning and Deep Learning technologies. He has experience developing several AI-related projects where he was actively working on the following:

  • Computer Vision: object detection, video processing, data filtering, behavior tracking.
  • LLM + prompt engineering + GPT Engine

Oleksii says that Deep Learning is one of his main interests in technology right now. It enables us to teach computers to perceive the world similarly to humans. This is one of the things involved in the work of the Devtortium R&D Department, and studying this technology offers excellent opportunities for personal growth. In addition, this looks great on your CV😉

Research & Development Team: Not Only for Developers

We’d also like to introduce some of the R&D Team members who have been studying new technologies with Oleksii for the last few months. We were surprised to learn that not all members of the Department are developers. Some Devtorium team members are very active and forward-thinking. Therefore, they want to discover everything they can about cutting-edge tech to stay sharp and expand their professional skills and opportunities.

Olha Romanets: Senior front-end engineer

Olha Romanets: Senior Front-End Engineer

Olha is one of the most active members of the R&D Department. Her drive is contagious, and her interest in the topic has no bounds. Olha has a successful career in front-end development, so we wondered what pushed her to take on this new challenge.

She said joining the R&D Team was essentially an ‘impulse purchase’. For some time, the topic of AI was popping up all around her, so when the opportunity to study it deeper presented itself, Olha took it immediately.

She is a highly dedicated person who enjoys studying things to their full potential. This is exactly how she approaches R&D workshops and never fails to impress her teammates.

Oleksandr Shapran: Business Analyst

Oleksandr Shapran: Strong Junior Business Analyst

As mentioned before, not all members of the Research and Development study group are developers. One of our business analysts, Oleksandr, is a good example of a person who doesn’t allow any perceived limitations to prevent them from reaching their full potential.

We asked him why he decided to join and spent some of his time studying something far removed from his primary specialty. His answers were truly inspiring.

First of all, Oleksandr highlights the importance of knowledge about AI for any professional working within the IT industry. This is the most cutting-edge technology that is already revolutionizing the world. Therefore, everyone must understand at least the basics of how it works and what it’s capable of.

Moreover, as Oleksandr wisely notes, the level of professionalism one has is determined by the depth and versatility of their knowledge. Simply put, any professional can bring more value if they are knowledgeable in many relevant areas. This way, they can be most helpful to the team, and that’s precisely how he wants to be.

That said, studying AI on your own is extremely difficult, especially for someone without a technical background. Joining the Devtorium Research and Development Department allowed him to learn from a great mentor and get support from his colleagues. They face challenges and grow together, each contributing something valuable to the work of this Department.

Also, Oleksandr notes that the knowledge and skills gained while working with the R&D Team help predict future trends. By learning these complex topics as an analyst, he can better understand changes in technology trends. Therefore, he can see what to pay attention to and how to benefit his current and future projects.

Ivan Danyliuk: Senior front-end endgineer

Ivan Danyliuk: Senior Front-End Engineer

Ivan is one of Devtorium’s leading front-end developers. He has shown tremendous talent and interest in working with AI through our Research and Development Department workshops.

According to Ivan himself, joining the R&D Team aligns with his passion to stay up-to-date with any changes in the industry. Due to his participation in this Department, Ivan broadened his horizons significantly. His direct quote:

Being a part of the R&D team has shown me new perspectives, encouraging me to approach everyday matters from a fresh and innovative standpoint.

Excited to be on this journey and eager to explore the limitless possibilities that our AI endeavors bring, I am confident that our collective efforts will shape the potential of our company.

Serhii Bevz: Senior full-stack engineer

Serhii Bevz: Senior Full-Stack Engineer

Serhii Bevz joined the Devtorium team not long ago but has proven to be an exceptionally talented full-stack engineer. However, despite being busy with his project, he makes time to actively participate in the work of the Research and Development Department. When we asked why he chose to join this team, he said that, first of all, it’s a highly promising direction for professional development. His second reason is that it’s a fascinating field for developers. Studying and working with AI enables you to move up to a completely different level of skill and knowledge.

In addition, Serhii mentions how he loved math in school and how working with AI requires a deep knowledge of mathematics. Moreover, studying a new programming language is much easier when you have real-life tasks for practice. Therefore, he enjoys mastering Python with the R&D Team and is progressing quickly in this area.

Serhii notes that expanding your personal tech stack is an outstanding professional opportunity. Also, he very much enjoys the way Oleksii teaches these complex subjects. The subject matter is very complicated, so it’s crucial to have someone who can explain it in a way that’s easy to understand. As a full-stack developer, Serhii knows he must know AI and how it works. This knowledge is vital for any ambitious developer today.

The only thing that Serhii does complain about is that he wishes to have more time for this exciting project. However, he hopes that working with the Research and Development Department on these topics will allow him to be near the start of changes in tech trends. Similar to how it was with NodeJS, AI has launched a revolution now, and those who are proficient with technology have a much better chance of professional success. Serhii also notes how important it is for a development company to have a team of professionals with these trending skills, as Devtorium has.

Oleksandr Kostylenko: strong-middle .NET engineer

Oleksandr Kostylenko: Strong Middle .NET Engineer

Oleksandr is a very experienced and talented developer in his professional life and a highly artistic person outside of work. When we talked to him about his reasons for joining the Research and Development Team, he showed that both parts of his character played into it. 

We can already feel the presence of AI everywhere, and personally, I use ChatGPT and DALL-E in my daily life. The future of the IT industry is inseparable from AI technology, and I’m sure studying it will help me in my work. Moreover, this outstandingly fascinating technology allows you to realize your artistic potential in development, which is crucial for me.

Oleksandr states that he enjoys being a part of the R&D Team and how Oleksii teaches such a complex subject. He especially commends the fact that Oleksii, as a teacher, encourages the team to write their own code and experiment. It’s a very productive and efficient method of teaching such complicated topics.

According to Oleksandr, knowledge is the main benefit he gets from joining Research and Development. Despite being a team member for only a few months, he already understands the core principles of Deep Learning and looks for ways to apply this in practice. He is looking forward to learning more about AI and reaching new heights with the help of this technology.

Devtorium Research and Development Department: Progress Report 2023

Despite being so new, the Devtorium R&D Department has grown fast and attracted many talented people who wish to expand their knowledge of innovative technologies. According to Oleksii, who heads the Department, the main achievements so far were:

  • Building a core team of people who are interested, driven, and have an aptitude for this type of work.
  • Covering the basics of Machine Learning, Deep Learning, Python, and Algebra needed for understanding and further work with AI technology.
  • Bringing the team to approximately the same level of knowledge.
  • Starting to work on simple model training tasks.

Currently, the Research and Development Team will continue to expand their knowledge and learn more about AI programming. We hope the team will soon have new exciting projects to work on.

Introduction to AI Part 2: Next-Level AI Terms Glossary 

2023 was a breakout year for Generative AI, and it has proven beyond all doubt that expanding your vocabulary with common AI terms is necessary now. Artificial intelligence technology is fast becoming an indispensable part of our lives on every level. Therefore, you must understand at least the basics of how it works and what it can do.

Devtorium will continue our series of articles about AI, its capabilities, and developments that are revolutionizing multiple industries. Today, we will expand our AI terms glossary with some more fundamental terminology. Understanding these concepts will help you get a better idea of how artificial intelligence models work with data. You can find the first post on basic AI terminology here.

AI Terms Glossary (Still in Alphabetical Order)

Bias

Bias is a phenomenon in machine learning (ML) that occurs when the outputs of ML algorithms are skewed. This happens due to the prejudiced assumptions made during the algorithm development. Simply put, it’s AI’s reaction to an error in the initial algorithm. This is often a reaction to human error or prejudice that occurs during programming the ML algorithm.

For example, it can happen if the data AI is given to learn from isn’t comprehensive enough or is programmed with cognitive human biases. In this case, the bias starts leading AI toward specific outcomes, affecting the results’ clarity and accuracy. If you are looking for a more technical explanation of how bias works in ML models, check out the relevant page on GeeksforGeeks.

Embedding

Embedding is a technique used to represent data (text, images, and audio) as a mathematical vector. Machine Learning models use data converted through embedding to capture semantic relationships and patterns. That’s the only data format they can directly process at this point of technological development, so embedding is one of the most important AI terms you need to understand right now.

Embeddings allow NLP models to process data, find contextual meanings, and perform tasks like querying, classification, comparison, and recognition. For example, Word2Vec and GloVe are popular embedding methods that are used for word embeddings. In simpler words, they help AI understand texts.

AI terms: Reinforcement Learning

Reinforcement Learning (RL)

Unsurprisingly, Reinforcement Learning is a type of Machine Learning that improves decision-making algorithms over time. It enables an AI-driven system to learn through interacting with its environment using the trial-and-error method. In very basic AI terms, this can be explained as the AI’s ability to learn from all its interactions with the user, both successful and not.

Also, RL uses the exploration-exploitation trade-off. It means that a computer balances the need to discover new, better strategies while exploiting the ones it already knows. The machine does this in order to achieve maximized rewards. This ML model is commonly used in robotics, gaming, and various autonomous systems.

Vector Database 

Vector databases are designed specifically for handling embeddings. The main difference between traditional and vector databases is in their data optimization and querying methods. Basically, instead of querying a row with a perfect value match, vector databases use a similarity metric, searching for a vector most similar to the query.

Devtorium developers used vector databases while working on AI-based recommendation systems, searching for images and text, NLP, and fraud detection software. We’ve also written an extensive article on the topic of vector database applications in AI and their pros and cons.

AI terms glossary: Vector Database

What’s After AI Terms Glossary?

The topic of AI is getting hotter and more relevant in our fast-developing world. Therefore, Devtorium will continue with our effort to explain exactly how this technology works and what it can do. The potential AI tech has is unlimited, and it has already changed human lives in significant ways. We hope that our developers and solution architects will be able to leave their mark on the world as well by creating new AI-powered products.

If you want to read more about AI, check out some of our previous articles:

Build an AI Chatbot with OpenAI Assistant API and LangChain

Technology has progressed so far that you can build an AI chatbot with minimum effort today. The world now really looks like some sci-fi stories come to life. OpenAI is one of the businesses standing at the forefront of this technological revolution.

We talked to Devtorium developers about how OpenAI’s Assistant API is reshaping how we develop digital assistants. Have you ever wondered what the development of chatbots looks like? Devtorium’s developers explore this superb AI-powered tool and share a tutorial on how to build a chatbot with Assistant API and LangChain.

Why Choose Assistant API to Build an AI Chatbot

Developers might have vastly different opinions on whether or not AI code-generation tools are helpful. However, everyone with experience working with OpenAI Assistant API agrees this is a magnificent tool. 

Assistants API is an NLP(natural language process) API currently available as a beta version. You can already use Assistants API for question answering, language translation, and code generation. However, its primary function is to assist developers in building chatbots within their apps. To start using Assistants API, you must have an OpenAI API account. 

Assistants API uses OpenAI-hosted models, access files, persistent threads, and call tools to respond to user queries. According to Devtorium developers, its most prominent and valuable features are:

  • Code interpreter and retrieval: Access and execute code from various sources.
  • Function calling mechanism: Call functions from other APIs.
  • Knowledge base: Store and access information from a variety of sources.
  • Easy conversation management with threads: Keep track of the context of a conversation.
  • Support for different models: Choose the best model for your specific task.
  • Customizable instructions: Control how your assistants respond to user requests and perform tasks.
  • Easy deployment: Deploy to a variety of platforms.

How to Build an AI Chatbot with Assistant API and LangChain

The range of AI software development services offered by Devtorium is vast. Therefore, we explored multiple AI solutions and technologies available today. One of our developers’ favorites is LangChain, a framework built around LLMs (large language models) and designed to simplify the creation of complex apps. This tool connects components: prompt templates, LLMs, agents, and memory to create a chain, hence the name LangChain.

In order for LangChain to work correctly with Assistants API, make sure you download version 0.0.331rc2 or higher. The latest RC version of LangChain can support Assistant API using an experimental package. The only class you need is OpenAIAssistantRunnable, which makes code much cleaner. 

Now, let’s get on with the guide on how to build an AI chatbot using these tools. Using the tips below, you can make an MnA assistant that will answer queries using a retrieval tool. No Chunking, no embeddings, and no vector database are required.

The steps to build an AI chatbot using this approach include:

  1. Create an Assistant API account and get an API key.
  2. Create an Assistant in the API by defining its custom instructions and picking a model.
  3. Install LangChain and create a LangChain project.
  4. Write a script that uses the Assistant API to send and receive messages from users and access and store information from LangChain.
  5. Deploy your chatbot to a web server, messaging platform, or mobile app.

Technical Instructions on Working with Assistant API and LangChain

1. Set up Assistant API 

  • Sign up for an OpenAI account
  • Get API key
import openai

     openai.api_key = "YOUR_API_KEY"

2. Create an Assistant

  • Define instructions for the scope of your chatbot, tools it can access, etc. 
  • Pick a model (code recommendation, text embedding, etc.)
assistant = openai.Assistant("assistant name", model="Davinci")

3. Install LangChain

  • Install LangChain and LangChain-experimental package
  • Import OpenAIAssistantRunnable
from langchain.llms import OpenAIAssistantRunnable

4. Handle user input and get assistant response

  • Take user message as input 
  • Process with OpenAIAssistantRunnable to get assistant response
user_message = input("User: ")

     assistant_response = OpenAIAssistantRunnable(assistant).run(prompt=user_message)["response"]

5. Connect LangChain memory

  •   Store data to use across conversations
  •   Access external APIs through LangChain agents
memory = {"context": {}} 

     agent = ExampleAgent()

     assistant_response = OpenAIAssistantRunnable(assistant, memory=memory, agent=agent).run(prompt=user_message)["response"]

6. Deploy chatbot

  •   Wrap in a web app/API, connect to a messaging platform, etc.

Bottom Line: Who Can Build an AI Chatbot with Assistant API and LangChain

As you can see from the post above, anyone with minimal coding knowledge can build an AI chatbot using tools like LangChain and Assistant API. Of course, an average person with no software development background won’t be able to do this unless they learn extensively.

However, the essential factor is that any small business can now access all the benefits of using a chatbot with minimal investment. All you have to do is contact our team and set up a free consultation. Our experts will discuss your ideas and requirements and come up with a plan that will fit your budget.

No reason for any business to not benefit from a chatbot today exists. So, contact us and take the next step in your tech growth!

If you want to learn more about how Devtorium developers work with AI, check out the following articles:

Devtorium Offshore Software Development Company: Progress Report 2023

As an offshore software development company, Devtorium did not escape the turmoil shaking up the global economy today. However, no matter how trying the times might be, we firmly believe that investing in people is the best way for any business. That’s the core of our values, and we are proud to say that putting our trust in our employees has never failed this company. We can see evidence of it when looking at the 2023 company performance report results.

This year was wrought with conflict, and many businesses struggle with the volatility of markets and economic downturns. Devtorium also faced many challenges during this year. However, we are happy to say that the year’s results are positive despite it all.

What We Achieved as an Offshore Software Development Company in 2023

  • Devtorium started five new projects in 2023, engaging 40 developers and other technical professionals. The projects come from a range of industries, including Health and Education.
  • Over the year, our company welcomed 14 new specialists. Our teams grow, and we actively search for new talent when the projects demand it. You can always find a list of our open vacancies here. If there isn’t a suitable position at this time, leave your CV using the form on the page. Our Recruiting Department will reach out to you when we have an opening.
  • To ensure that Devtorium developers master cutting-edge technologies and can offer top-quality services to our clients, our company launched a Research and Development Department. This department is currently focused on NLP, Deep Learning, Machine Learning, and Neural Networks Training. Developers working within the R&D Department also study Python and contribute to our AI software development services greatly.
  • According to our project statistics, React, NodeJS, .NET, and Angular are the most popular technologies today. However, the interest in no-code development services is also growing. This year, we had some clients interested in developing solutions using Bubble.io.
  • Devtorium launched two in-house solutions in 2023. One is an ERP system that mainly serves our Accounting, HR, and PMO Departments. However, all our employees use it to track working hours on various projects and manage leave requests. The solution is created using the Bubble no-code platform, and it’s constantly evolving. The second in-house project we launched is a CMS system based on Frappe.io. Our Sales Department is using the many capabilities of this platform to manage and grow our leads database.
  • Devtorium completely redesigned our website, devtorium.com, to ensure its design matches our updated brand style and expanded list of services.

Devtorium: Plans for the Future

Our main priority as an offshore software development company is to focus on trending technologies and ensure we can deliver the services our clients need. At this time, this means shifting the focus to the rapidly evolving AI industry. We are proud to see that our developer teams have mastered this technology and learned how to use it to its full potential in the service of our clients.

Next year, we will continue our work to expand the company and introduce new technologies to our tech stack. Moreover, we will continue searching for projects in a variety of industries. However, our primary focus is maintaining the integrity and quality of service that our clients value.

Progress of Devtorium offshore software development company in 2023.

How to Use Photoshop AI Generative Fill

Photoshop AI Generative Fill, recently introduced as a beta version by Adobe, is truly an incredible tool. Even as limited as it is now, it makes the work of designers and photographers much easier. Moreover, Generative Fill has a high potential to change the image editing industry. In this post, Devtorium`s designers will explain the features of Photoshop AI and show off some of its applications in graphic design services.

What is Photoshop AI Generative Fill?

Generative Fill is an AI solution that can generate or remove parts of an image with minimal effort from the user. In simple terms, it works like this, you select an area of an image and AI can produce realistic textures, patterns, and details that perfectly integrate into the rest of the picture.

The step-by-step process goes like this:

  • First, you select an area within your image where you want to add content.
  • Next, you provide text prompts (commands).
  • After this, Photoshop AI analyzes your prompts and the surrounding image content.
  • Following the analysis, Generative Fill generates new pixels that match the style, lighting, texture, and details based on your input.
  • Finally, you receive several updated image preview options and can choose the best one.

Note that Photoshop AI beta is available to all paid Adobe Photoshop subscribers. All you need to do as a registered user is to download and install the solution from the official website.

Our graphic designer, Khrystyna Byelova, has already tried using Photoshop AI Generative Fill when working on photo editing for our social media posts. Take a look at the amazing results it can produce. You can see the prompts she used in the image below.

Photoshop AI Generative Fill use case with prompts

How Generative Fill Benefits Designers

The main benefit of using Photoshop AI is that it saves designers a lot of time, which is usually spent on image editing. AI assistance offers some additional benefits as well:

  • Contextual image generation that matches the original (objects and backgrounds)
  • Multiple style options, including textures, patterns, lighting, and details
  • Layers support for non-destructive editing
  • Customization: you control the adjustment settings, like Color Adaptation, Rotation Adaptation, and Scale
  • Faster iteration by generating dozens of variations

Bottom Line: How to Implement Benefits of Photoshop AI for Your Business

If you are a graphic designer or a photographer, you can greatly speed up your work using Generative Fill. However, it’s not only professionals who work with visuals who can benefit from it. Content generated with Photoshop AI can be used across industries ranging from eCommerce to advertising.

The technology is still relatively new, but it continues to improve at a rapid pace. The potential use cases seem endless, whether filling gaps in product images or generating graphical assets for ad campaign concepts. If you want to know how to boost your own business using this tool, contact us for a free consultation. To learn more about the use of AI in design, check out this article about prompt engineering for Midjourney.

How Outsourcing Software Development Company Devtorium Stands with Ukraine

Devtorium is an outsourcing software development company with offices in several countries and remote employees spanning the globe. However, the core of our developers resides in Ukraine, a country torn apart by russia’s invasion. We are invested in supporting the country that’s fighting for its freedom and its heroic defenders.

Devtorium has been supporting Ukraine since the beginning by donating some of our earnings to specialized funds. However, we are proud to say that we didn’t stop at that. Devtorium’s strength is its people, who are passionate, driven, and courageous in the face of even the darkest trial of war.

Since day one, the vast majority of Devtorium employees became active volunteers, the unsung heroes of the war as referred by Times. Even the members of the Devtorium team who do not directly participate in volunteering activities make regular donations and other contributions to the support of Ukrainian defenders. Over this time, they provided multiple types of equipment and materials to strengthen the soldiers. Some examples of this support include:

  • Equipping multiple defenders with essential gear, such as headgear, body armor, first aid kits, etc.
  • Supporting medical teams with specialized kits, tourniquets, equipment, etc.
  • Purchasing autos for army squads.
  • Providing power stations and generations to units fighting on the frontlines.

However, some members of the Devtorium team took their volunteering activities to a new level. We are immensely proud that these people work within our company and would like to draw attention to their noble cause.

How Devtorium outsourcing software development company staqnds with Ukraine through a Cherkasy-based charity fund.

Devtorium Outsourcing Software Development Company Cherkasy: Creating a Charity Fund to Help Support Ukrainian Defenders

A team from the Cherkasy Office of the Devtorium outsourcing software development company set up a charity fund to become more efficient in their support of the army.

Since the beginning of this cruel invasion, a team from the Cherkasy Office started preparing dry rations for the defenders. They do this completely voluntarily, using their own kitchens for the bulk of this hard work. They haven’t stopped even once, providing the heroes who risk their lives with essential and delicious nutrition.

According to Nataliia Kashuba, the Regional Manager of the Cherkasy Office and Devtorium’s Head of Cybersecurity Department, their goal is to support soldiers in the trenches by providing a taste of a home-cooked meal. These gestures mean the world to people who face unimaginable cruelty every minute of every day. Most importantly, this little ‘taste of home’ can offer invaluable emotional support.

As of right now, the team’s dry rations are booked out in advance. As all these dehydrated meals are prepared by regular people at their homes, their capabilities are limited. Therefore, if any of you reading this would like to support the cause, you can contact the charity fund Mamyni Obiymy ta Tatove Pleche (Mother’s Hug and Father’s Shoulder) created by Nataliia Kashuba.

Multiple people join the cause, each providing the level of support they can. Some help with cooking, and some provide produce, including homegrown fruits and vegetables. No help is ever too small! The team greatly appreciates every bit of support.

We stand with Ukraine: Devtorium outsourcing software development company.

Team Involvement: Going Way Beyond Outsourcing Software Development

As for our Cherkasy team, their whole families are involved in meal preparation. For example, Nataliia’s son got inspired to become a chef, and he is the one making marinades for meat-based components of their rations. This Thanksgiving, the team prepared dehydrated turkey that would be sent directly to the squads that are currently stationed at the frontline.

Another example is our Head of IT Department, Pavlo. On the professional level, he is expanding his skills and holds specialized security certifications. Moreover, he is currently developing as a DevOps professional and is actively engaged in projects.

However, even with such a busy schedule, he contributes to the dry rations preparation regularly. Pasha is an expert on homemade crackers. We have it on good authority that his crackers are greatly loved and appreciated by the heroes who are stationed in the most dangerous zones.

Charity fund to support Ukrainian defenders.

Why Set Up a Charity Fund?

Nataliia is a person with a heavy workload demanded by her position within the company. The added load of preparing rations and additional volunteering activities is definitely not easy to bear. Therefore, we asked her why she decided to set up and manage a charity fund.

Her reply was simple:

“Nothing we do can compare to the sacrifices of our defenders. The fund enables us to cut through many legal issues and ensure that we deliver the help that’s needed faster.”

According to Nataliia, they faced multiple obstacles in their work, from scammers and outright thieves to corruption at the customs. As a legal expert herself, Nataliia chose to create a charity fund as the most expedient way to make the whole operation legal and overcome the hurdles of corruption.

Nataliia expresses her great worry and disappointment in the fact that many people she meets today claim to be fatigued by the war. She stresses, and we wholeheartedly support her, that the people who are truly tired are those who fight at the frontlines. And yet, they get up every day and risk their lives to defend their country. Therefore, doing our very best to support them is the least we can do.

At Devtorium, we agree with Nataliia’s position. Therefore, we encourage everyone to join the cause and help in whatever way they are able. Our company has been doing its best to provide every kind of support. As a result, in spite of all the hardship, 2022 was a good year for Devtorium’s growth. We will continue doing our best and are 100% confident that our developers will continue to perform above and beyond the clients’ expectations.

Stand with Ukraine by providing homemade dry rations and other help via a specialized charity fund.

Introduction to AI Part 1: Basic AI Terminology Cheat Sheet

Without a doubt, artificial intelligence technology started a new round of modern progress. Soon, understanding it, at least on a basic level, will become crucial, so you must start learning AI terminology fast. Today, we will begin our series of articles that provide a basic guide to AI by explaining some of the terms essential for understanding this tech. In future articles, we will explain how artificial intelligence works and AI software development services in greater detail.

You can already see how big and small businesses, governments, and ordinary people use AI in everyday activities. When we discover new technology, we try to make it a part of our daily lives. For example, with the invention of near-field communication (NFC), humankind came up with the idea of using it as a way of payment. Now, no one is surprised to see others paying with just a phone or hear NFC in regular conversation. 

The same thing is happening to AI. First of all, AI is a set of techniques that imitates human behavior and completes the tasks that would usually require human intelligence. According to Forbes, the AI market is expected to reach $407 billion by 2027. Thus, providing yourself with AI techs is a win-win investment in your business success.

Introduction to basic AI terminology.

AI Terminology Cheat Sheet (in Alphabetical Order)

Chatbot

A chatbot is an app made to simulate human conversations. It uses NLP to process inputs and generative AI to automate responses. A chatbot can perform multiple functions. For example, it can assist businesses from within or to engage customers.

Computer Vision

Computer vision is a set of AI technologies that allows machines to analyze and interpret visual content. Driven by deep learning models, it can recognize patterns, objects, and even emotions in images. In addition, computer vision can process dynamic content and perform gesture recognition and motion analysis. Today, computer vision can analyze images at extreme speeds and identify objects with 99% accuracy. This technology is applied in various industries, from security to healthcare and self-driving vehicles.

Datasets

Datasets – are large collections of various types of digital data. They are a crucial element of any ML algorithm and are used to train AI systems to complete assigned tasks. The most popular public datasets are Kaggle, UCI, ImageNet, and Quandl.

Deep Learning (DL)

It is a subset of machine learning that relies on neural networks trained on massive amounts of data. In this context, “deep” refers to the use of multiple layers in the network. As AI networks become more complex, the importance of deep learning in the scope of AI terminology increases.

Generative AI

Generative AI is an AI algorithm whose primary function is to generate new output from the training dataset. Whereas traditional AI models mostly follow predefined rules to respond to inputs, generative AI can produce variable content such as images, video, text, and code. Also, it can create outputs either in the same prompted medium, like text-to-text, or in a different one, like text-to-image or image-to-video. A great example of generative AI is Midjourney, with its multiple features.

Large Language Models (LLMs)

LLMs are machine learning models trained on vast amounts of textual data. The most well-known example of an LLM is ChatGPT. A part of Devtorium AI software development services includes creating and training LLMs to deliver the output you need automatically.

Essential AI terminology to know today.

Machine Learning (ML)

ML is a subset of AI development that enables machines to self-learn when dealing with specific tasks without preset coding. It’s one of the most basic terms in AI terminology today. There are many machine learning types and methods. Most of them use conditions (ifs), cycles, and internal variables to train the system`s algorithm. The developer needs to train the model using training datasets but does not change the code itself. Then, the model can be saved, loaded, or used to process new data.

Natural Language Processing (NLP) 

The ability of AI-driven systems to analyze, comprehend, and generate human language is called NLP. The three main parts of any NLP are computer science, human language, and AI. Applications that require NLP include chatbots, text generators, translation tools, and autocorrect solutions. Chatbots, like Amazon’s Alexa and Apple’s Siri, utilize NLP to process user queries and find answers.

Neural Networks

Neural networks are models of teaching machines to recognize underlying patterns. The name refers to neurons in the human brain. It’s because the way this network operates looks pretty similar to them. This kind of structure enables neural networks to handle more complicated challenges than traditional programming.

Prompt Engineering

Prompt engineering is the process of creating specific instructions for LLMs to generate desired outputs. The instruction usually contains information on the way and form of outputting content. It’s a handy skill in the modern world because it allows users to interact with AI more efficiently.

What’s the Next Step After Learning Basic AI Terminology?

This little AI terminology cheat sheet should help you understand essential AI-related content. In order to explain the matter more deeply, we will continue expanding this AI terms glossary and explain how artificial intelligence is built and trained in our upcoming articles.

However, if you want to learn how exactly AI can benefit your business today, contact our experts to set up a free consultation.

For those of you who want to continue learning about artificial intelligence technologies, check out our older posts:

Do AI Code Generation Tools Help Developers?

AI code generation tools became a huge hit fast, just like ChatGPT. Naturally, we wondered whether professional developers are worried about becoming redundant. Will human programmers be replaced by AI sometime soon?

We decided to discuss this matter by talking to some of the most experienced Devtorium developers. It turns out that they aren’t worried at all. In fact, they are actively exploring and using AI code generators in their everyday work.

AI software development is one of Devtorium’s core services. Therefore, our specialists spend a lot of their time researching artificial intelligence tech and what it can do. We asked some of our senior software engineers which tools they are using and what they think about their capabilities. Read their replies below.

Are AI Code Generation Tools Useful for Developers Today?

Head of Development Department: AI code generation is too limited to help developers now.

Andrii Bohatyr: Head of Development Department

Over the last six months, I used:  

I would admit these tools are raw right now. In general, they don’t offer a lot of value. However, they are capable of helping with some rudimentary tasks.

The issue is that prompts require tweaks and improvements, even when you have a clear understanding of how to engineer prompts. Therefore, 9 out of 10 tasks could be easily completed faster in the old-fashioned way.

The same results could be achieved by using Google. I mean if the task requires diving deeper into a domain you need to research more.

AI code generation tools have good potential. However, as of now, they have too many issues and are still limited. The biggest problem is that even IDE pluggable tools lack the context of the whole project. Therefore, they are largely unusable. They don’t have an understanding of a particular project’s code style, conventions, issues, etc.

I would say, AI-based solutions indeed may help to automate some routine tasks. However, in coding experience is crucial. At least, if you’re not an LLM expert or a prompt engineering guru.

Senior .NET Developer: AI code generation tools make many mistakes but give good ideas.

Alina Nor: Senior .NET Developer

 decided to try GitHub copilot immediately when I heard about it. It gave me a ‘wow’ effect – like magic when you’re writing a sentence about what should be here and it writes some meaningful code or when it completes the writing function for you – this impressed me. 

I like to witness this magic. It’s a special kind of pleasure seeing how someone adds code for you. The problem is that you can’t rely on keeping that code as is. You need to review that and make sure it’s correct. For me, mostly it wasn’t. I had to rewrite it or improve it all the time.

However, it might give you a couple of ideas when you’re stuck. Also, I should admit that the code written by this tool is clean and follows the best practices. 

Unfortunately, AI code generation tools don’t improve my workflow. I’ve been using Copilot for two months. Most of that time I didn’t accept its suggestions because I didn’t want to spend time reviewing or rewriting the code generated by it.

However, I’m using ChatGPT 4 for ideas or when I need to do some routing work. It’s a really powerful solution and it can save developer’s time. Especially if you need a general functionality, for example, some math functions or time calculations, etc. When there are no custom rules, its code works well. I think this is a powerful assistant for developers, even though you cannot rely on it completely.

Senior Front-End Engineer: AI code generators can be really useful when used right.

Maksym Kharkovenko: Senior Front-End Engineer

I have been using GitРub Copilot for about 3 months. If you’re looking to optimize your code, I would recommend giving Copilot a try. It can help you generate new code and patterns quickly and efficiently. In addition, I use GitHub Copilot Chat, which is also a good helper for improving your code.  

Github Copilot is a really powerful tool that can enhance the coding workflow. However, sometimes it requires some examples before it can generate anything that can be integrated into your project. This AI code generation tool provides syntactically correct code but it still has trouble referencing types across different files and packages.

Using Copilot really improved my coding efficiency by providing relevant and accurate code suggestions. I like its intuitive handling of function creation, code completion, and creation of unit tests. It makes the coding process more efficient and enjoyable.

Head of R&D Department: AI code generation can be good but only when your prompts are great.

Oleksii Makarov: Solution Architect/Head of R&D Department

I have been using Copilot for several months. From my experience, AI code generation assistants are not a panacea or a way to completely escape coding. Therefore, you can’t rely on them to do all the work for you. Naturally, you need to match the generated code to your expectations. Sometimes, Сopilot can’t generate something I want. However, in most cases, it defines the context correctly and offers good suggestions. 

Most of the time, I write in NodeJS and Python. Copilot helps to save time when writing my code. I’ve been doing more RnD lately, and in this mode, sometimes I must make some major changes in the project generated by AI.

Copilot defines the context of the code and the next block I want to implement quite well. For example, Copilot knows that this particular file implements a layer of database accesses. Therefore, based on the name of the method I introduced, it proposes changes with data that match the method name and my expectations. Even at the moment of the suggested completion, I see whether the Copilot understands what I need, and then I can accept or reject this completion.

Will AI Code Generation Tools Replace Developers Anytime Soon?

As you can clearly see, developers aren’t worried about AI taking their jobs. On the contrary, the leaders of them spearhead the innovation and use AI code generators to improve their workflow. Moreover, they use this opportunity to expand the limits of what AI can do.

As a provider of AI-based solution development services, Devtorium strives to contribute to the development of artificial intelligence technology. We understand that AI is the future and we are happy to use all it can offer and then expound on it for our clients.

If you want to know how AI-powered development can help your project, set up a free consultation with our team!

How to Hire an Offshore Outsourcing Software Development Company

Outsourcing software development offers a range of benefits to businesses of any size. The main advantage of this method is flexibility as outsourcing gives you access to a huge pool of talent. However, as much as it could help you, entrusting your product development to offshore specialists could also cause problems. The secret to success here is to hire a reliable outsourcing development company you can trust. This guide will help you with this by pointing out the most important factors to consider when choosing this service.

Benefits of outsourcing software development.

Advantages of Outsourcing Software Development

Before we get into the ‘how’, you need to understand whether outsourcing is the right choice for your business in general. An in-house team means you have more control of the workflow at every level. However, building your own team is guaranteed to be more expensive.

Meanwhile, outsourcing offers the following benefits:

  • Access to versatile tech talent
    When outsourcing software development you have access to all talent worldwide. Therefore, you can definitely find the exact combination of skills and tech expertise required to build your ideal product. For example, you can build an AI development team containing experts who specialize in AI training combined with expert developers who can build the system to their specifications.
  • Shorter time-to-market
    As you aren’t limited in tech expertise and don’t need to spend time recruiting and talent on your own, the product development journey will be shorter. Even if you need to recruit additional experts during the development process, the Devtorium IT recruiting service will do this for you. Therefore, you get to release your product faster and with minimal disruptions.
  • Easy scalability
    Having complete control of an in-house team also reduces its flexibility for scaling. However, when you are outsourcing software development, scaling won’t be an issue. Note that this is true both for up and downscaling. The size of your team will always correspond to your current needs and budget.
  • Quick team expansion
    Note that you don’t have to outsource the entire development project. In fact, you can often achieve better results by choosing IT outstaffing services. In this case, you will enhance your in-house team with additional tech expertise by recruiting offshore specialists. This is a great option for scalability and increasing your product functionality by hiring experts in highly specific areas.
Tips on how to find an offshore software development company.

How to Hire an Outsourcing Software Development Company: Step-by-Step

  1. Outline your requirements
    First of all, you need to have a clear idea of what you want to achieve with your product. In order to choose an outsourcing software development company you need to understand what sort of technical expertise you require. Note that you don’t have to create a complete plan of technical features for the product. However, it will be best to research your prospective competitors and make a list of features you want to have. This way, you will be able to narrow down the pool of outsourcing candidates. For example, you can look for someone with expertise in fintech development, or creating insurance platforms, etc.
  2. Research offshore outsourcing companies
    You can use reputable platforms, such as Clutch, to collect information about various offshore outsourcing companies. A reliable provider will have all the essential information on their website. There you can learn about the services they offer and take a look at the case studies portfolio to get some idea of the company’s expertise.
  3. Conduct an interview and get a proposal
    The next step is to contact the company and set up a meeting where you can discuss your project. You can arrange a free meeting with the Devtorium team anytime. During this meeting, we will collect your requirements and talk about details in order to understand how we can bring your ideas to life. Then, we will provide you with some estimates and a proposal. When ‘shopping’ for a 
  4. Start collaboration with the outsourcing software development company
    Once we settle on the proposal, we can start collaborating to meet your goals and deadlines. Devtorium Project Managers will establish the lines of communication and set up the workflow to ensure that the project stays within the budget and delivery times outlined in the contract.
Best countries for outsourcing software development.

Best Destinations for IT Outsourcing Today

The first task that lies before you when looking for an outsourcing software development company is to choose a country. This shouldn’t be too difficult as there are reports that allow you to understand where exactly the IT outsourcing industry is the strongest. Moreover, you can find out average rates and see which destinations offer the best cost-to-value ratio for the client.

  • Ukraine
    Despite the war currently going on in the country, Ukraine remains the top IT outsourcing destination in Eastern Europe. The revenue generated by this industry has been steadily growing over the last decade and russia’s invasion didn’t impede this growth. According to Statista, the IT outsourcing industry is set to generate $1.7 billion in revenue in 2023 and double that within the next five years.
  • Poland
    Poland has the largest workforce of development professionals in Europe (about 500 000). About 40% of these professionals work in the IT outsourcing industry. Polish software development vendors provide highly skilled labor at a reasonable rate.
  • India
    India is one of the most popular software development outsourcing destinations due to the affordability and abundance of developers. The country has a huge pool of STEM graduates with about 2.5 million added every year.
  • Brazil
    Brazil is the top IT outsourcing destination in Latin America. It’s particularly appealing to US businesses because there are very few issues with time zones. The country heavily supports the IT outsourcing industry through favorable legislation and promotion of technical professions within its education system.

Hiring an outsourcing software development company can be a game-changer for your business. So, don’t hesitate, and take the first step right now!

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