The future of work is changing, AI is changing how we live and work and is revolutionizing the job market. It is extremely important to analyze this topic and discuss its impacts and the future of programming whether you are an employer, employee, or anyone who’s interested at the end of tech, this article is for you!
AI AS A TOOL FOR PROGRAMMERS
Chatgpt, Github’s CopilotX, bing, bard, and countless other AI tools are very efficient and accurate at programming and development-related tasks which is a great thing for programmers since it :
- Streamlines our programming process
- It makes it easier to learn to code because of its exceptional explanatory skills
- Easy to find errors in the code and correct them, previously it was an extremely tedious task
- Acts as our personal coding assistant and improves our productivity
- Saves our time and helps us stay creative
However glittery and exciting these bullet points sound, they also make a lot of programmers nervous about the future of programming. If AI is able to do it all by itself, why would anyone hire a programmer?
Programmers are really feeling insecure about their future because AI-powered tools are pretty good, not only are they convenient to use, they would help corporations cut costs on all the extra staff they hire for things that can be performed easily by these AI models, instead of hiring an entire team, now most organizations might only require a single IT professional to manage it all and even he doesn’t need to do any coding himself, he just has to translate the client/organization demands to these AI-models and they’d do it for him, hiring such a professional is still just to be on the safe side, this professional can double check the code and maybe prompt it in the right direction which a non-technical person might fail to do but still, the whole process sounds like an existential crisis to all the programmers who have created black magic that would haunt them for years, they have successfully outsourced their jobs to AI.
OPPOSITE ENDS OF THE SPECTRUM – WHY WOULD THE WORLD STILL NEED PROGRAMMERS
While AI has dramatically created a future of programming in danger and worries by making it easier to find errors and solutions and reducing the need to remember codes, it has given programmers a fair share of tension as well with its smart automation skills. Here is how as a programmer you would be able to stay relevant for the near future Programmers. it is not conventional advice to upgrade your skill set!
1. AI still needs humans
AI still greatly requires human assistance, this is because AI projects such as Copilotx, Chatgpt, and bard are all only providing trivial solutions to programming problems and they still need a full-fledged programmer to function properly, a guy in a suit would never be able to get the most out of these AI tools because if not prompted correctly the output is meaningless, even if a person with amateur knowledge steps into the AI – PROGRAMMING saga, he’d still require a lot of training first in order to know which tools, libraries and languages to use for different applications
One might argue that in the near future of programming, you would just prompt the AI about what you want to achieve and it would give you a full-fledged solution but it is wrong, just like how computers took away a few jobs but also created an entire space for new careers, AI would work in the same way, it would revolutionize the way we picture a programmer, programmer in the future would focus more on what really matters that is getting the most out of a machine and leave the tedious task of writing the code for AI, it would be a creative endeavor the future of programming would be a much healthier, creative and imaginative person than he is now, his brain cells would be focused around ideas and not around implementation.
The future of programming is exciting as ever since the world would always require an IT technician to power these promising AI tools!
2. The role of developers and data scientists in AI model development
Within the AI space itself Developers and data scientists are responsible for designing, training, and testing AI models to improve these AI MODELS, a lot of people would argue that these tools are self-sustaining and self-learning but fail to understand that they work on real-world data and access to the correct real-world data can only be provided by humans, this is why I think that Data science and machine learning would be more in-demand skills than ever and more convention IT professionals would be working with AI ensuring that they align with ethical and legal guidelines. They would also interpret and explain the results that AI systems produce.
3. BUSINESS SIDE OF AI AND PROGRAMMING
The only reason humans produce more and more advance technologies each passing year is none other than money, with the advent of AI tools like Chatgpt and bing, the business has been booming for AI technicians who are still mostly full-fledged programmers and developers who have shaped these models to perfection
The race for making the best AI tool would go on and programmers might be deviating to the business side of programming like they always have but in a slightly different manner, we would all agree that although AI is more accurate, efficient, and cheaper than an IT professional, Programmers are still needed to understand the business context of their projects, collaborate with other team members, and continuously improve their skills to keep up with new technologies, make no mistake, AI is incredibly smart and can plan business endeavors but still, all organizations would still need human recourse to allocate AI resources in the right direction to make the most from them.
In summary, while AI is changing the way we live and work and is revolutionizing the job market, it is unlikely that AI will completely replace programmers in the near future. AI tools like Chatgpt and bard are very efficient and accurate at programming and development-related tasks, but they still require human assistance to function properly. In the future, programmers would focus more on getting the most out of the machine and leave the tedious task of writing the code for AI. Additionally, data science and machine learning would be more in-demand skills than ever. More conventional IT professionals would be working with AI to ensure that they align with ethical and legal guidelines. Furthermore, businesses would still require human resources to allocate AI resources in the right direction to make the most of them. Programmers are still needed to understand the business context of their projects, collaborate with other team members, and continuously improve their skills to keep up with new technologies.