Sometimes, in the rapidly developing world of technology. The question of the role of artificial intelligence (AI) for programmers becomes more popular than ever. Is AI really capable of replacing the role of programmers in the 5.0 era? Let's find out through the article below.
Who can write code?
Artificial intelligence (AI) can be used to write code. This technology is called “automated code generation” or “automatic code generation.”
Artificial intelligence systems can automate simple programming tasks . Like writing basic code, generating source code from a variety of data sources. Including examples of existing code, programming documentation, ... Even describing programming problems. Instead of spending time and effort on repetitive tasks. Like creating variables, declaring functions, or writing loops. AI can perform these tasks faster and more efficiently. Moreover, AI also checks for errors, by analyzing the syntax, semantics, and logic of the code to detect and report errors automatically.
In addition, artificial intelligence is also capable of generating new code based on context and requirements. Instead of having to write each line of code manually. AI tools will automatically complete unfinished code. Or suggest alternative code segments for existing code. This helps increase efficiency and creativity in the programming process. At the same time, it reduces the time and effort that programmers need to spend.
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Can AI replace programmers in the future?
Although artificial intelligence (AI) has made significant progress in automating many programming tasks, AI cannot replace the role of programmers, now or in the future.
AI is incapable of creativity or rational thinking
AI has the ability to process information and learn quickly. But it still lacks the creativity and independent thinking of humans. This is the reason why AI cannot completely replace programmers in the future.
Current artificial intelligence still cannot fully simulate human creativity, critical thinking and problem solving. AI can help programmers automate tasks. Provide information and suggest solutions. But it still needs human guidance and judgment to make final decisions.
AI does not have a deep understanding of programming logic
The ability to understand programming logic and programming languages is a core strength of programmers. It helps them create effective software. Compared to artificial intelligence, programmers have many advantages:
- Capture context and user intent.
- Detect and fix errors effectively.
- Optimize software performance.
- Create innovative solutions.
Although AI is developing, human programming ability is still an irreplaceable strength. Programmers need to improve their knowledge and combine artificial intelligence to improve efficiency and creativity.
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AI cannot interact with context
In a programming environment, interacting with context is not just about writing code. It also includes understanding user requirements and project needs. This requires the programmer to be able to communicate effectively, participate in product development processes, and understand the business goals of the project.
Programmers must also put themselves in the shoes of the customer. From there, they must understand how the product will solve problems. This is an important factor in ensuring that the final product is not just a working code. But also a solution that meets the needs and expectations of the customer.
AI cannot distinguish between ethics and responsibility
Programmers are often faced with ethical and responsible decisions during software development. The ability to understand and apply ethical principles to their work is an important factor, and artificial intelligence is currently not capable of doing this on its own like humans. This creates the need for human intervention to ensure that software development is conducted ethically and responsibly.
Who can replace programmers in the 5.0 era?
However, AI still causes unemployment storm if
It is unlikely that artificial intelligence will completely replace programmers in the future. However, AI can automate some tasks, leading to an increase in the role and skills required for programmers.
Automate basic programming tasks: AI can automate basic, repetitive programming tasks like writing boilerplate code, creating simple classes and functions, and basic error checking.
Some tools like GitHub Copilot , TabNine use artificial intelligence to suggest code automatically.
Create simple apps: artificial intelligence can create simple web and mobile apps based on available templates and intuitive user interfaces.
Platforms like Bubble , Adalo offer drag and drop tools.
On-demand software development: Several startups are developing artificial intelligence platforms that help users create on-demand software. However, this technology is still in its early stages of development.
Error Detection and Correction: AI can be used to analyze code and detect potential errors, saving programmers time on debugging.
Some tools like DeepCode , CodePro Analytix use artificial intelligence (AI) to identify security bugs, logic errors and performance issues.
Microsoft wants to replace programmers with AI
The fear that Nvidia CEO Jensen Huang had about the need to learn programming no longer being necessary because AI can do it for humans has become a reality as Microsoft introduces a new platform.
Microsoft recently released details on a code development platform powered by artificial intelligence (AI) agents. In this concept, human programmers are assigned a supervisory role. Called AutoDev, the platform is designed to allow AI agents to interact with each other to develop code.
Such an automated development platform relies on multiple repositories to handle complex software engineering tasks. Furthermore, users have the necessary tools to validate their own results. Initial tests show that the concept proposed by Microsoft is fully feasible.
The question is, where will the human programmer fit in? According to Microsoft research , the role of human programmers will be to act as supervisors, similar to what project managers do. In other words, human programmers will no longer write the code necessary for the program’s goals, but will instead be spectators to the work being done by the AI, able to intervene whenever they see fit.
In this future, humans will not have to perfect the art of coding, but will have to focus on explaining their purpose so that they can intervene whenever the artificial intelligence deviates from the goals defined in the project's conception.
Again, this scenario raises the question of what the future will look like if AI takes over what humans are doing. What jobs will humans have in the future if everything is done by AI?
Even more important is knowing who will be able to intervene if things start to go wrong. In other words, if everything is done by artificial intelligence, who will have the knowledge to fix it when necessary? This is a debate that is far from over, especially with the progress being reported on AI on a regular basis.