Will neural networks replace programmers? What awaits junior developers and how will the industry change? / ITech content

Contents:

• Neural networking is a man's best friend
• A dose of skepticism
• There is no replacement for a programmer... For now

The emergence of neural networks, even those with minimal intellectual capabilities, often sparks panic in society. Journalists begin to claim that a time is coming when machines will displace humans from the labor market. To create additional tension, they resort to outdated myths about robots, from the story of Professor Dowell to cult films such as Skynet and The Matrix. These fears are sometimes based on a lack of understanding of technology and its real impact on work processes. Instead of focusing on negative scenarios, it is worth considering how neural networks can complement and improve human work.

The release of ChatGPT, a neural network capable of dialogue and creating text that is almost indistinguishable from human text, raises serious questions about the future of artificial intelligence. Prominent entrepreneurs like Musk and Wozniak have signed an open letter calling for a halt to the training of advanced AI. They express concerns that the development of such technologies could have negative consequences for humanity. This raises the question: should we really be concerned about the future created by AI?

We realize that discussing global issues is not our specialty, but it is always interesting to talk about the future of the IT industry. We held a discussion with community representatives about the changes the introduction of artificial intelligence will bring for developers. Are we in for an era of harmony and opportunity, or fierce competition for existence in a new reality?

Neural Networks – Man's Best Friend

Developers maintain a positive attitude toward neural networks, but relying entirely on artificial intelligence for creative and responsible tasks is not yet advisable. However, AI is excellent at performing routine tasks such as finding errors in code, processing logs, and completing individual blocks of code. It is important to note that neural networks can still make mistakes, so human control and verification of results remain necessary.

Director of Development of the educational platform Skillbox Holding, as well as the head of the program committee of FrontendConf, actively participates in industry conferences as a speaker. He has deep knowledge and experience in educational technologies and programming, allowing him to effectively share insights and current trends in frontend development.

Artificial intelligence is a powerful tool that is transforming various aspects of our lives. Its capabilities optimize processes, improve work efficiency, and open new horizons for business and science. The implementation of artificial intelligence allows us to analyze large volumes of data, predict trends, and make informed decisions. Its use is becoming increasingly relevant and in demand in today's environment, making it a key element of technological progress. Artificial intelligence is not just an innovation, but an important step towards creating a smarter and more convenient world.

The use of neural networks significantly improves the quality of customer interactions. For example, when a new request is received, the system can remind the manager of the last call with the client and highlight key points from the conversation transcript. Modern machine learning mechanisms are capable of analyzing the tone of communication, recognizing intonation, assessing the severity of a request, and distinguishing sarcasm from genuine complaints. This allows us to respond more effectively to customer inquiries and improve the overall quality of service.

Artificial intelligence can take over routine intellectual tasks, significantly simplifying the work of programmers. Currently, I actively use ChatGPT 4 for information searching, writing simple texts, and analyzing logs. This not only saves time but also allows us to focus on more complex aspects of development. The use of AI in programming opens up new opportunities for increasing efficiency and accelerating workflows.

Previously, log analysis required significant time and manual labor, but modern neural networks can significantly simplify this process. Now we can effectively automate routine tasks related to identifying and localizing problems. This not only speeds up the analysis process but also increases the accuracy of error detection, which ultimately contributes to improved system performance.

Multimodal machine learning (ML) has a wide range of capabilities, including error analysis based on screenshots. It can identify the causes of errors and assess their impact on the user. This not only improves the user experience but also optimizes the process of identifying and resolving problems. The use of multimodal approaches in ML opens up new horizons for automation and improving the efficiency of interaction with users.

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Neural networks: amazing functions that amazed even their developers

Neural networks are one of the most advanced areas in the field of artificial intelligence, and their capabilities continue to amaze both users and scientists. These algorithms are capable of learning on large volumes of data, allowing them to identify complex patterns and make decisions that surpass human abilities in some areas.

One of the most impressive features of neural networks is their ability to generate content. They can create texts, images, and music that are difficult to distinguish from works created by humans. This opens new horizons for creativity and automation in various fields.

Furthermore, neural networks demonstrate outstanding results in the field of natural language processing. They are able to understand context, determine sentiment, and even generate dialogue, which significantly improves interaction between humans and machines.

It is also worth noting that neural networks are successfully used in medicine, where they help diagnose diseases and predict treatment outcomes. Their high accuracy and speed of data analysis make them indispensable in this field.

Overall, neural networks continue to evolve, and their features amaze developers and users. This is just the beginning, and the future promises even more exciting advances in artificial intelligence.

Despite all the advantages of neural networks, they cannot completely replace developers. The primary function of neural networks is to predict the next word in a given context. Moreover, the automation of routine tasks does not require significant intellectual effort. The human factor in software development remains indispensable, as developers possess creativity, critical thinking, and the ability to make complex decisions, which is inaccessible to neural networks.

Automation of routine processes significantly increases developer productivity, which, in turn, leads to an improvement in the quality of services provided. The implementation of effective automated solutions allows teams to focus on more complex tasks, which fosters innovation and improves overall work efficiency. Thus, automation not only optimizes work processes but also positively impacts the final result.

In human history, significant changes associated with industrial revolutions have repeatedly occurred. First came the steam engine, then the electric engine, followed by automation and digitalization. These technological breakthroughs significantly improved people's quality of life, opening up new opportunities and increasing production efficiency. Each of these revolutions fundamentally changed society, creating new jobs and fueling economic growth. Technological advances not only transformed industry but also impacted everyday life, making it more convenient and fulfilling. 130 years ago, the first automobile was created—a carriage with an engine. It had limited durability and often broke down, making travel extremely uncomfortable. Modern cars, such as the Maybach, represent a completely different level of technology and comfort. The difference between these two eras in automotive engineering is colossal, and they cannot be compared. The technological progress that has occurred during this time has changed the perception of vehicles and their capabilities. Today, we are witnessing the realization of fantastic ideas that writers dreamed of decades ago. A hundred years ago, it was predicted that electricity would enable humanity to transmit voice and images over long distances. It was also said that electronic devices would be able to create images like true artists. All these predictions have come true, and we live in an era where technology makes the impossible possible.

Routine tasks will soon be automated. We will be able to simply voice instructions, and artificial intelligence will perform them for us. This will be reminiscent of a scene from Sergei Lukyanenko's novel "Emperors of Illusions," where the protagonist interacted with a computer by gesturing and speaking into a microphone to program. This approach to task execution will open up new opportunities for increased productivity and workflow optimization. With machine learning and voice interfaces, we can significantly simplify everyday tasks.

Procedural generation has become an important element in the gaming industry, enabling the creation of unique and dynamic game worlds. Developers describe algorithms that determine how grass grows, and the location of forests and wetlands. This process can be controlled with a single button, automatically placing environmental elements in the right places. Without procedural generation, it would be impossible to create such vast and detailed worlds as in The Witcher. This technology not only speeds up the development process but also adds variety to the gaming experience, providing players with a unique experience with each new launch.

There is a perception that the game designer's profession is coming to an end, but this is not true. Modern artists create 10x10 kilometer game worlds using procedural generation and then refine them manually. Thanks to neural networks, designers can focus exclusively on the creative aspects of their work. They make decisions about the visual design of the map, how to make the world attractive, and how to integrate narrative elements into the game environment. Thus, the role of a game designer is being transformed, allowing them to devote more time to the creative process and improving the quality of game products.

Procedural generation in games is a method that automatically creates content using algorithms and rules. This allows developers to create unique worlds, levels, and game elements without having to manually model every aspect. This approach not only saves time but also significantly increases replayability, offering players new and unexpected experiences. If you want to better understand how procedural generation works and the benefits it brings to the gaming industry, we recommend reading additional materials on this topic.

In the future, not only the profession of programmer may disappear, but also such professions as pilots, military personnel, parliamentarians, and drivers. Instead, a host of new, in-demand professions will emerge that meet the demands of the times. Changes in the world are occurring rapidly, but the pace of these changes does not always match people's expectations. This underscores the importance of adapting and preparing for new challenges in the labor market.

Mastering new technologies and improving productivity are key factors in becoming a valuable and sought-after specialist. Start using ChatGPT today, create an account, and dive into learning. This will help you not only improve your professional skills but also stay on the cutting edge in your field.

Five years ago, it was a mistake to prevent a child from using a phone, as this could leave them unprepared for modern society. Today, it is essential to give children the opportunity to become familiar with neural networks. Those who do not try to master these technologies risk being left behind in the future. Neural networks are becoming an integral part of our everyday lives, and their use can significantly expand children's horizons of knowledge and skills.

In the next five years, you can expect to see the phrase "Proficiency in Word, Excel, and ChatGPT required" in job descriptions. Modern society is rapidly adapting to new technologies, and it is important to keep up. Mastering tools like ChatGPT will be essential for a successful career, as they simplify tasks and increase efficiency. The ability to use modern technology is an important competitive advantage in the labor market.

It is not necessary to occupy the first position, as early participants rarely receive significant benefits and do not improve their quality of life. On the contrary, their followers who come later can benefit from this experience and actions to the fullest, achieving more stable results and advantages.

CIO at JUG Ru Group is a key role for the successful management of information technology and the strategic development of the company. The CIO's responsibilities include implementing innovative IT solutions, managing the IT infrastructure, and optimizing business processes. In an environment of rapid technological advancement, the CIO must be at the forefront, making decisions that will help the company remain competitive. At JUG Ru Group, the CIO is also responsible for developing cybersecurity and data protection, which is especially relevant in light of today's challenges. Effective leadership from the CIO contributes to increased productivity and improved service quality.

Ivan Yamshchikov, host of the podcast "Provetrimsya!", spoke at the recent TechTrain IT festival. His research focuses on artificial intelligence. Ivan actively collaborates with businesses, exploring the application of AI in various fields, including generative art, which includes ChatGPT. This area of ​​technology opens new horizons for creative solutions and transforms traditional approaches in art and business.

In Germany, where Vanya lives, there is a group of people opposed to nuclear energy. These activists actively participate in conferences, calling for a transition to wind power instead of nuclear power. However, their arguments against nuclear energy are not scientifically substantiated. Nuclear energy remains an important source of electricity, capable of providing a stable and environmentally friendly energy supply, reducing carbon emissions and dependence on fossil fuels. It's important to consider all aspects of energy policy, including the advantages and disadvantages of various energy sources, to make informed decisions on energy security and sustainable development.

At the festival, we discussed manifestations of environmental activism, which sometimes seem quixotic. During the discussion, we recalled the emergence and spread of printing, which significantly changed the approach to preserving and disseminating knowledge. Similarly, artificial intelligence represents an adaptation and transformation of the existing landscape of various industries. These technologies not only change processes but also open new horizons for creativity and innovation.

People should focus on creating meaningful concepts, rather than wasting time creating numerous new icons for online services. Routine tasks can be delegated to modern tools if you learn to use them effectively. Effective time and resource management will allow you to focus on more important aspects of your work and develop creative ideas. Using technology to automate routine processes can increase productivity and improve the quality of work.

In the near future, we can expect to see new positions for specialists working with ChatGPT. The primary task of these professionals will be to extract relevant and accurate results from the chatbot with a minimum of errors. This role is much like that of a journalist, who must gather information, fact-check it, and clearly convey it to their audience. ChatGPT negotiators will be needed to effectively interact with artificial intelligence and improve the quality of the responses they receive.

Currently, the ChatGPT chatbot sometimes exhibits the characteristics of an incompetent journalist, forming sensational theories without fact-checking and relying on questionable sources. The more specific the question, the higher the likelihood that ChatGPT will provide incorrect information. However, it can do so with complete confidence, without doubting its answers. Improving the quality of information provided by a chatbot requires more thorough fact-checking and the use of reliable sources.

Will neural networks make it easier to enter the profession? I don't think so. If a novice developer tries to use a neural network to prepare for an interview, an experienced interviewer will quickly notice. There are even proposals to introduce blacklists for such candidates to prevent other companies from wasting time evaluating them. Dishonest methods undermine mutual trust and do not benefit either candidates or employers. An honest approach to job searching and interview preparation remains the most effective and sustainable way to achieve success in the profession.

Replacing a junior ChatGPT is possible, but depends on the expectations of the role. If the main task is generating marketing texts without the need for fact-checking, then a neural network will certainly cope with this task. However, it's important to consider that in other aspects of the job, such as content analysis, creativity, and customer interaction, the human factor remains indispensable. Therefore, before deciding on a replacement, it's important to clearly define the position requirements and key tasks that must be completed.

The primary goal of a junior specialist is to learn and contribute to the team. A second important task is to provide a fresh perspective on processes. Companies should actively seek the junior's opinion on current processes and ask them about possible improvements. This fresh perspective cannot be obtained from a neural network. A junior can notice aspects that more experienced employees may have missed, making their opinion valuable for optimizing the team's work and increasing efficiency.

For people who are afraid of artificial intelligence, I recommend actively engaging with tools like ChatGPT. This will help dispel many fears and misconceptions. Often, such mistrust of new technologies is reminiscent of the struggle with nuclear energy in the past. It's important to remember that a lack of understanding isn't a reason to ban technology. Instead, it's worth exploring and adapting to the new opportunities AI offers. Learning and being open to innovation will help allay fears and realize the potential of artificial intelligence.

Artificial intelligence (AI) can significantly improve the quality of work, making it more engaging and interesting for people. The use of AI in various fields allows for the automation of routine tasks, freeing up time for creativity and innovative solutions. Implementing AI into work processes increases productivity and improves the overall work environment, while also helping to find innovative approaches to problem solving. This makes the work process more enjoyable and promotes the development of personal and professional skills.

At the TechTrain conference, Dmitry Soshnikov presented a paper on his experience writing a book using artificial intelligence. While working on the book, he needed illustrations, especially images of the main character. When searching for "an elderly man in a red sweater," the neural network consistently generated various images of people, highlighting the capabilities and limitations of modern technologies in creating visual content.

Dmitry managed to train the neural network using his own image. As a result, an image of the main character resembling the author was generated every time. This case clearly demonstrates that even the most complex tools require proper handling and configuration to achieve the desired result.

Modern professionals must not only be able to load content into a neural network interface but also use this tool professionally. It is important to understand how to correctly formulate queries, analyze results, and integrate the obtained data into workflows. Effective use of neural networks requires deep knowledge and skills that will help you get the most out of these technologies.

Programming languages ​​in the past had a low-level structure and were less intuitive than modern ones. Over time, programming tools have evolved significantly, making them more accessible to a wider audience. This transformation is the goal of any industry - to attract more people capable of creating useful solutions. The development of programming opens new horizons for beginners and professionals, allowing them to effectively implement their ideas and projects.

Head of the Message Bus Department at Ozon Tech and host of the Koda Koda podcast is an expert in the field of technology and communications. In his role, he is responsible for developing and implementing effective messaging solutions, which contributes to the company's improved internal and external communications. The "Koda Koda" podcast provides listeners with a unique opportunity to delve into technology, programming, and innovation, as well as learn about current industry trends. The host shares his experience and knowledge, making the podcast a valuable source of information for specialists and enthusiasts.

Artificial intelligence is a useful tool that cannot completely replace developers. Likewise, higher-level programming languages ​​and modern IDEs cannot eliminate the need for professionals in this field. All of these tools are designed to increase development efficiency, speed up processes, and improve the quality of the final product. They allow developers to focus on solving problems and implementing ideas, rather than on the technical aspects of completing the work. As a result, artificial intelligence is becoming a powerful assistant rather than a competitor for programming professionals.

The software development market will undergo significant changes. Many projects that today require large teams will be able to be completed by small groups of specialists in the future. This doesn't mean the need for developers will disappear; rather, they will have the opportunity to work on more projects simultaneously. Developer efficiency and productivity will increase, leading to a new dynamic in the industry.

Skill requirements for specialists will change. While specific details are still unclear, one of the key skills will be the ability to assume responsibility and successfully complete projects. This quality will be especially valued in the conditions of constant changes and high competition in the labor market.

Lead Mobile Developer at Usetech, specializing in the development of native applications for iOS using Swift and Objective-C, as well as for Android in Kotlin and Java. He also has experience creating cross-platform solutions using Xamarin, Xamarin.Forms, and Kotlin Multiplatform. With over eight years of experience in mobile development, he serves as a team lead and mentor, and is also a Kotlin GDE. He teaches iOS Basic and Pro courses on the Otus educational platform.

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Artificial intelligence is certainly not capable of independently creating a full-fledged application by generating code without human intervention. However, it can become an effective tool for automating simple and routine tasks. For example, AI can translate Figma mockups into a user interface (UI). However, responsibility for writing and integrating business logic into such an interface remains with the developer. This highlights the importance of the human factor in the software development process, where the programmer's creativity and analytical skills play a key role.

Reducing test generation time has become possible thanks to modern algorithms. These algorithms not only speed up the process but also allow for code analysis for potential memory leaks and vulnerabilities. About 10-15 years ago, when software testing became relevant again, solutions based on neural network technologies were proposed to improve the efficiency of these processes. The use of such systems can significantly improve code quality and reduce security risks.

Artificial intelligence can take over some routine tasks, allowing developers to focus on more complex and creative projects. This will not only increase work efficiency but also open up new opportunities for innovation in various fields. Using AI as a tool will significantly simplify work processes and free up time for the development of more significant ideas.

Software Engineer, specializing in the development of urban infrastructure management systems for megacities around the world. The core area of ​​work includes backend development and database design, which helps optimize urban infrastructure processes and improve the quality of life for residents.

A link is an essential element of web content, allowing users to navigate between pages and resources on the internet. It not only improves navigation but also contributes to a website's SEO. It's important to use high-quality and relevant links to improve your website's search engine rankings. A properly formatted link can improve user experience and increase time spent on the page. Ensure that links lead to relevant and useful resources, which will help increase the trustworthiness of your content.

Modern technologies offer a wide range of ready-made solutions, including SaaS, various frameworks, and high-level programming languages, significantly increasing our productivity. Previously, developing engineering calculators required a lot of effort coding on punch cards. Today, desktop applications are available that make these tasks quick and easy. This simplifies the development process and makes it more accessible to specialists.

I expect a significant increase in AI assistants in development in the coming year. Every internet user will have access to free or shareware AI tools that will act as effective assistants in various fields. Although they may sometimes produce inaccurate results, in general they are able to see the big picture and successfully cope with the tasks assigned. However, the results of such assistants will certainly require careful verification and refinement.

Developers will not disappear, but the role of Senior Backend Developers will change. In the future, they will become Backend AI Orchestrators. The focus will be not on rewriting the same endpoints, but on solving real business problems. This change will optimize processes and increase development efficiency, emphasizing the integration of artificial intelligence into workflows.

It is believed that over the next five years, the need for human expertise will significantly decrease. This is due to the rapid advancement of technology and automation, which can take over many tasks that previously required human intervention. Innovations in artificial intelligence and machine learning continue to reshape the labor market, which, in turn, affects the role of experts in various fields. Given this, companies and organizations may begin to rely on algorithms and systems that can perform complex tasks more efficiently and cost-effectively. Money will remain an important part of industry and will not disappear. We are on the threshold of a new golden age of entrepreneurship in its various forms. Professions in this field will undergo significant changes, and it is important to be prepared to adapt and evolve with them. Success in business will depend on the ability to quickly respond to change and master new skills.

Director of the Scientific Programming Center at the Moscow Institute of Physics and Technology (MIPT). Physicist-programmer and PhD in physics and mathematics. Teacher with experience in scientific programming and physics.

Head of the Kotlin User Group in Moscow. This group brings together developers interested in the Kotlin programming language. Here, members can share experiences, discuss the latest technologies, and find solutions for their projects. Join the Kotlin community in Moscow to stay up-to-date with the latest news and events related to Kotlin and its ecosystem. Links play a key role in the structure and navigation of websites. They allow users to navigate between pages and also provide access to external resources. The importance of links for SEO cannot be overstated, as high-quality backlinks contribute to higher search engine rankings. When creating links, it is important to consider their relevance and authority. Internal links improve site indexing, while external links help establish trust with search engines. Proper link optimization, including the use of keywords in anchor text, can significantly increase the visibility of your content. Pay attention to URL structure, as it also affects SEO. Use short, clear, and descriptive URLs for each page. Effective link management can improve user experience and boost your website's search engine rankings.

Artificial intelligence, in its weak and strong forms, is a system designed for decision-making. Currently, artificial intelligence often refers to models used to recognize patterns, such as images. These technologies enable the effective analysis of visual data, improving human-machine interaction. The development and implementation of such models are becoming increasingly important in various fields, including medicine, the automotive industry, and security.

Neural networks for pattern recognition and decision-making have been actively used in programming for a long time. One example is the autocompletion feature in IntelliJ IDEA, which effectively selects variable names and ranks suggestions. Similar tools are also available in other integrated development environments, demonstrating the widespread applicability of neural network technologies in programming. These solutions not only simplify the coding process but also improve its quality, allowing developers to focus on more complex tasks. As technology advances, neural networks continue to improve, opening new horizons for automating and optimizing programming workflows. With the advent of generative neural networks like GitHub Copilot, software development is undergoing significant changes. These technologies are capable of not only suggesting variable names but also generating entire code snippets and even small applications. However, this doesn't mean the role of programmers is becoming redundant. Programmers are still essential for creating high-quality, functional, and secure software. Generative networks can be a useful tool, speeding up the development process and assisting with routine tasks, but they cannot replace the critical thinking, creativity, and deep understanding of programming that are the hallmarks of professionals in this field.

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GitHub's Copilot: A Threat to Free Software or a New Level of Equality in Development?

GitHub's Copilot is generating heated debate in the developer community. On the one hand, its ability to automate code writing and assist with project development represents a significant advantage. On the other hand, there are concerns that this tool could threaten free software by replacing humans and violating licenses.

Copilot uses machine learning algorithms trained on a vast code base, allowing it to generate code snippets suggesting solutions to various problems. This makes it a valuable resource for developers, helping to speed up the development process and reduce the time spent on routine tasks. However, some experts point to potential legal and ethical issues associated with using the code it generates.

Critics argue that Copilot may undermine free software principles because it relies on code available in open repositories, potentially leading to unauthorized use and copyright infringement. However, proponents of the tool argue that it can serve as a kind of equalizer, providing access to resources and solutions that were previously only available to experienced developers.

In summary, GitHub's Copilot is a double-edged sword: on the one hand, it opens up new opportunities for developers by simplifying the coding process, but on the other, it raises legitimate questions and concerns about the future of free software. How the developer community will adapt to these changes remains to be seen.

Generative networks demonstrate high efficiency when performing standard tasks. However, when it comes to original queries, their capabilities are limited. They can help write small snippets of code, but are unable to solve the entire problem. This situation is reminiscent of the general interest in no-code development: success is achieved only within predefined patterns. Therefore, it is important to understand that while generative networks and no-code tools can significantly simplify the development process, they do not replace full-fledged programming and a creative approach to solving non-standard problems.

The need for highly qualified programmers will remain relevant. As technology advances, routine tasks will be delegated to machines, which, in turn, will make programmers' work more comfortable. However, this will also lead to a decrease in demand for entry-level specialists. Skill requirements will increase, and the dream of quickly learning on courses to earn a high salary will become less achievable.

Generative networks do not have an internal representation of the program's functioning, which leads to certain problems. They are able to combine various code fragments to create workable solutions, but without a clear model. This makes further maintenance of such code virtually impossible, and if problems arise, it will have to be rewritten. The phrase "generate code in five minutes, and then spend a week figuring out why it doesn't work" no longer seems like a joke, but is becoming a real problem for developers.

In the future, new tools capable of creating program models and solving software development problems more efficiently may emerge. However, this will only increase the demand for qualified specialists. Professionals with deep knowledge and experience will play a key role in the use of such tools, ensuring high quality and efficient development. Increased automation will not replace the need for experts, but on the contrary, will make them even more valuable in the labor market.

Team leader and researcher in the field of artificial intelligence. I specialize in the development and implementation of innovative solutions based on modern AI technologies. My work involves managing teams, conducting research, and analyzing data to create effective algorithms and models. I strive to continuously develop and apply advanced methods in artificial intelligence to solve pressing business and societal challenges.

Currently, there is a need for someone to train artificial intelligence in development processes and specific workflows. Ideally, this specialist should have a deep knowledge of both AI itself and the subject area for which the program is being developed. As a result, eight hours a day, five days a week, are required to train artificial intelligence in the necessary skills and development methods. This will improve the efficiency of the AI ​​and the quality of the solutions created.

There is a concept called "syntactic sugar," which refers to elements of a programming language that do not change the functionality of a program but significantly simplify its development process. Perhaps in the future, we will see the emergence of the so-called "syntactic cake," which will represent even more convenient and intuitive constructs for programmers.

If artificial intelligence begins to independently determine which projects to develop, this will raise new important questions. Primarily, we will think about the ethical aspects and consequences of such decisions. How will security and control over developments be ensured? What will be the consequences for the labor market and human participation in the process of creating technologies? These changes can dramatically affect society and the economy, necessitating a new approach to regulation and cooperation between people and machines.

A Share of Skepticism

There are more pessimistic forecasts regarding the impact of neural networks on various professions. Some experts suggest that emerging technologies could lead to job losses for entry-level professionals, reduced pay for artists, decreased autonomy for students, and a decrease in the level of security for cybersecurity professionals. It is important to discuss these scenarios to get a full understanding of the possible consequences of introducing artificial intelligence into our lives.

Lead front-end developer at Evil Martians. He has experience developing projects such as the Russian Groupon, the Brainwashing website, and atata.com, and has made significant contributions to the creation of Habrahabr. He is the author of popular tools, including Autoprefixer, PostCSS, Browserslist, Logax, and Nano ID. These developments significantly simplify the lives of web developers and contribute to improving the quality of front-end code.

Software development involves not only writing code but also a deep understanding of business processes. This requires the ability to identify and solve problems, generate ideas, develop system architecture, and conduct testing. A comprehensive approach to development allows for the creation of effective solutions that meet the needs of business and users.

Next-generation neural networks significantly simplify the process of writing code, debugging, and identifying errors. They function similarly to high-level programming languages ​​and automatic garbage collection. These technologies free developers from routine tasks, allowing them to focus on the more creative and interesting aspects of software development. The introduction of neural networks into the development process not only increases efficiency but also facilitates the faster creation of high-quality and innovative solutions.

People engaged in standard development risk losing their jobs if they do not adapt to new market conditions. This is especially true for junior developers, who often lack the necessary resources to change their professional activities. To remain in demand, they should develop new skills and master modern technologies, which will help improve their competitiveness.

The situation with junior developers is worrying, as they may find themselves without financial resources at a time when the economy is producing more goods. The development of neural network technologies can exacerbate social inequality, widening the gap between rich and poor. It is important to consider how changes in the economy and technology can affect the labor market, especially for newcomers to the profession.

In countries where citizens are distant from politics, governments are reluctant to support specialists in the retraining process, which leads to an increase in unemployment. I am convinced that in a strong society, everyone has a responsibility to participate in political life. Active citizen engagement in politics helps ensure social justice and development, and creates the basis for effective solutions to economic and employment issues. Political activity helps create a society where everyone can contribute and be heard.

Team leader and IT consultant with over 15 years of experience in the IT industry. Host of the "Teamlead Obviousness" Telegram channel and the "Koda Koda" podcast. He specializes in team management and the implementation of effective IT solutions. He provides consulting on modern technologies and helps companies optimize development processes.

A link is an important element of web content that allows users to navigate to other pages or resources on the internet. It not only improves navigation but also contributes to a website's SEO optimization. Proper use of links helps increase a resource's visibility in search engines. It is important to consider that links can be internal, pointing to other pages on your website, or external, leading to third-party resources. Effective link placement, the use of keywords in anchor text, and ensuring their relevance to the content will help attract the target audience and improve the site's ranking in search engines.

Artificial intelligence will play an important role in supporting programmers, as Copilot or ChatGPT do. However, there are cases where neural networks, while providing seemingly plausible solutions, produce incorrect results. Therefore, it is important to carefully review each response and make any necessary corrections, which emphasizes the need for a qualified specialist to be involved in the development process.

A developer works in a team with complex communications and interdependencies. During the process, changes are often made to the terms of the tasks, the architecture, and other aspects of the project. In my opinion, artificial intelligence is not yet capable of fully adapting to such requirements.

Sometimes, customers make demands that not only ChatGPT cannot handle, but also a modern artificial intelligence system cannot understand. Ultimately, it turns out that the solution often lies not in complex actions, but in the ability to conduct a thorough conversation with a person. It is important to understand their problem and offer a more suitable solution that truly meets the client's needs. Communication and understanding remain key aspects of successful interaction.

Recently, there has been active discussion of cases of using neural networks for writing theses and solving problems during interviews. New high-profile stories related to artificial intelligence and security issues are expected. It's important to prioritize the development of effective systems for labeling and identifying AI-generated content. This will help avoid ambiguities and increase transparency in the use of AI technologies.

The field of artificial intelligence is rapidly developing, and not all companies are adapting to these changes. As businesses realized they could fall behind innovators, initiatives began to emerge aimed at slowing the adoption of new technologies. This can raise suspicions and even create a sense of conspiracy theory. It is important to understand that adaptation to artificial intelligence is a key factor in achieving competitiveness in the modern world.

A graduate of the Moscow Institute of Physics and Technology (MIPT) with experience in Java programming. He currently teaches at the Higher School of Economics, sharing his knowledge and experience with future IT specialists.

A link is an important element of web content that serves as a navigation link between pages and resources on the internet. It allows users to quickly access the information they need, improving the user experience. Proper use of links helps improve a website's visibility in search engines, which in turn can lead to increased traffic and improved rankings in search results. Link optimization involves using keywords in anchor text and creating internal and external links, which helps search engines better index content. An effective link structure can also impact the time users spend on a website, which is an important factor for SEO.

In a global context, code generation, supplemented with elements of logic, has the potential to replace human labor. If artificial intelligence reaches a level that allows it to emulate human thinking, it will certainly be able to replace many professions. We're all familiar with the concept of highly intelligent systems from movies like J.A.R.V.I.S., which showcase AI's ability to solve complex problems and make decisions. Advances in artificial intelligence technologies are opening up new horizons, and it's important to understand how this will impact the future of programming and other related fields. Don't expect significant changes in the development of artificial intelligence in the near future. Currently, AI serves as an assistant in solving basic problems. For example, for me, it's the equivalent of Google's smart search or the Stack Overflow platform, where you can quickly get an answer to a question or find a ready-made solution. Artificial intelligence is not yet capable of performing complex tasks at a human level, but its use to simplify everyday tasks is becoming increasingly popular. The next level of development involves the ability to refactor, adjust, and quickly review small fragments of code. This is still the position of an assistant programmer, but not a complete replacement for a specialist. At the moment, it is impossible to replace human thinking, even if some ideas seem irrational. Nevertheless, such approaches allow us to optimize the programming process and increase its efficiency.

Reading is an important part of every person's life. It not only broadens your horizons but also promotes the development of critical thinking. Books, articles, and blogs provide a variety of information that can be useful in various fields. Regular reading helps improve vocabulary, enhance your knowledge, and develop analytical skills. It's important to choose quality sources to obtain reliable and up-to-date information. Reading is also a great way to relax and unwind. Don't forget to share your impressions of what you've read with friends and acquaintances; this can lead to interesting conversations and discussions.

Code refactoring is the process of improving the structure and readability of software code without changing its external behavior. The primary goal of refactoring is to improve the quality of code, making it more understandable and easier to maintain. This process is essential for eliminating technical debt, improving performance, and increasing software reliability.

Refactoring helps developers identify and eliminate redundant or deprecated sections of code, reducing the likelihood of errors and facilitating the implementation of new features. It also promotes better collaboration between team members, as cleaner and more structured code is easier to perceive and understand.

Furthermore, regular code refactoring increases its scalability, which is especially important for projects that will grow over time. Thus, refactoring is an important aspect of development that contributes to the creation of high-quality and reliable software.

Creating code is not the only task of a programmer. It is also important to consider its maintainability and readability, which is a hot topic at modern conferences. Even with the development of artificial intelligence, which can automate some processes, it will not be able to completely replace developers. The human factor, the ability to make decisions and adapt to change remain key aspects in software development.

Students actively use ChatGPT to generate answers to homework assignments. However, the quality of such answers often leaves much to be desired: upon closer analysis, it becomes obvious that the text was created by a neural network, not a person. This negatively affects the level of education, raising serious concerns about the future of the educational process. Using artificial intelligence in education requires a conscious approach to avoid degrading students' knowledge and skills.

There's no replacement for a programmer... Yet

To successfully replace programmers, ChatGPT needs to develop human qualities, specifically the ability to understand the needs of customers, who sometimes don't even know what they want. At this stage, a neural network may encounter difficulties, unlike experienced programmers. Human experience and intuition play a key role in interpreting customer needs and offering effective solutions.

DevRel at Evrone. Participated in the development of Radmin, was engaged in the promotion of interactive television NPTV and programmable telephony Voximplant. My experience in developing relationships with developers and promoting technologies allows me to effectively engage with the community and create innovative solutions in the IT field.

MoscowPython Community Evangelist and passionate neurophysiologist.

A link is one of the fundamental elements of web content that allows users to navigate from one page to another. Proper use of links not only improves site navigation but also contributes to its optimization for search engines. Links can be internal, pointing to other pages on your site, or external, leading to resources located outside of it. To increase your page's visibility in search engines, it is important to use keywords in the link texts and ensure their relevance. Effective links help increase the time users spend on the site and also improve the overall structure and perception of the content.

A developer plays a key role in the creation of complex engineering systems. Their value lies in the ability to apply proven methods and implement innovative solutions, which ensures the long-term sustainability of the project. A professional with the necessary knowledge and experience can mitigate risks and avoid situations where a project is jeopardized by insufficient architecture or technical errors. Investing in qualified developers is the key to the successful and stable operation of software solutions. ChatGPT can significantly assist in generating code from text descriptions. Just as computers learned to convert English words into program code three decades ago, modern language models like ChatGPT can interpret queries and generate corresponding code. This simplifies the programming process and makes it more accessible to people of various skill levels. This tool allows developers to implement their ideas faster, while beginners can learn and develop their programming skills.

ChatGPT won't be able to integrate code into an existing project, as this requires a deep understanding of the structure and functionality of the project itself.

• read the code it consists of;
• read tickets and comments to understand why things were done this way and not another;
• talk to people - a huge amount of information is missing from the code simply because the programmers who wrote the code didn't know how to reflect thousands of hours of discussions at meetings, at the water cooler, and in bars.

For a neural network to completely replace a person, it must possess human abilities, such as communication, memory, and attention. A neural network must understand the structure of our surrounding world. Currently, ChatGPT and other modern chatbots do not have this level of understanding. Artificial intelligence technology continues to advance, but achieving true human interaction will require significant advances in understanding context and human psychology.

Team Lead for accessibility at SpurIT and Google Developer Expert in web technologies. I organize Accessibility Club Minsk, as well as the MinskCSS and MinskJS meetups, where I share my experience and knowledge about web application accessibility.

Despite predictions that front-end developers will be replaced by automated code generators from Figma and Photoshop, professional coders remain in demand. High-quality interfaces and unique designs are still created exclusively by humans. This underscores the importance of skills and creativity in web development, which cannot be fully automated. With the rapid development of technology, the need for qualified specialists will only increase.

Neural networks effectively handle routine tasks. The other day, I used artificial intelligence to generate a script for a 10-minute video. Creating such a script manually requires significant effort and time. Using AI allows you to speed up the process and focus on the more creative aspects of the work.

No one will send ChatGPT to solve bugs in legacy systems. This task will be entrusted to an experienced developer who created the software or inherited it from previous developers. As long as the software remains in its familiar format, taking into account legacy versions and the need for support, the role of a human developer in this area will remain indispensable for a long time.

Creating software using ChatGPT requires the participation of an entire team, not the efforts of a single person. The development process involves assembling the code piecemeal, which can lead to complications. Often, due to missing small details, such as commas, it can take a long time for the team to identify and fix errors. This emphasizes the importance of teamwork and thorough code review at all stages of development to avoid lengthy delays and improve the quality of the final product.

The first to master the use of ChatGPT will be beginner programmers. This will open new opportunities for career advancement and help them find their place in the tech industry. However, relying solely on neural networks is not enough – without regular self-education and skill updates, a beginner specialist will not be able to become a professional. However, he can become a master of formulating queries to neural networks, which is also an important skill in the modern IT world.

There is a profession known as a prompt engineer. You can learn more about this specialty in our extensive article about ChatGPT, in the section "Prompt Engineer - the Profession of the Future." This article covers in detail the role of a prompt engineer, their tasks, and prospects in the world of artificial intelligence.

We recognize that new students enrolling in our courses may use ChatGPT to complete test assignments. It is difficult to determine at first glance that the code was generated using AI. This only becomes noticeable when a large number of assignments are generated. For example, if 10 of 200 assignments are identical, this immediately indicates the extensive use of unauthored material.

We conducted an experiment to generate the final code for our test assignments and achieved acceptable results for only two out of three. The third task posed a real challenge for artificial intelligence, as it required refactoring poorly written CSS code. AI is not always able to understand why a certain solution is considered bad if it works. This highlights the difficulty of applying machine learning to tasks that require a deep understanding of human code quality standards.

The speed of development of neural networks is impressive. Perhaps in the near future, they will be able to generate elegant solutions. Everything depends on us, since we provide neural networks with the source code on which they create their algorithms. This indicates that the end result is always a reflection of our actions.

Summary: Artificial intelligence is an exciting and promising field. It can replace some routine tasks, but human intelligence will most likely be required to solve complex problems. In the future, programming will become more accessible through the use of "human" language. ChatGPT will act as an intermediary, converting our words into code, creating a new level of interaction between humans and machines. This opens up new opportunities for developers and simplifies the software creation process.

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Also read:

• Viktor Nosko: "We are creating a Russian competitor to ChatGPT"
• Test: can neural networks really do this?
• What is a neural network and how does it work?