Is Artificial Intelligence gradually becoming a serious concern of software developers, as AI machines slowly start to write code like real programmers?
Learn more: Artificial Intelligence and practical use in life
DeepCoder, Codex, Deep Tabnine, GitHub Copilot,… new platforms produced from Artificial Intelligence now can program in a variety of languages, as well as analyze code, debug and thereby suggest new lines of more complete code… A few practical examples will help you better understand how automated coding tools work in the programming world.
- Codex: This will only start writing code after it has searched and gathered sufficient information from a massive code database. Then, it will try to filter and organize the code in order to make it as scientific and clear as possible, thereby improving coding efficiency over time.
- GitHub Copilot: This will provide you with a series of suggestions based on the system of data being edited, this tool often gives the most intuitive code, closest to the programmer’s requirements. Furthermore, Copilot is popular because it’s frequently simple, and saves a significant amount of time.
- Deep Tabnine: The application was created using Deep Learning. Tabnine helps developers shorten coding time by allowing them to complete code in 30 popular programming languages and IDEs. It works by comparison, making recommendations based on statistical patterns and machine learning capabilities.
- DeepCoder: It is indeed possible to write a software program in “1 note”, before that DeepCoder will “learn” all the available source code and when the programmer makes a request. It only needs to extract the data and recommend the appropriate code for the intended purpose. Nowadays, DeepCoder is becoming more adept at determining which types of code can and cannot be used. Whenever there is a problem, it improves its skills.
The majority of the coding applications that have just been reviewed are well-known in the technology industry, receiving attention not only in the programming world but also in humanity as outstanding inventions that demonstrate people’s limitless intelligence. However, the advancement in AI did not make many people worry that in the near future their work will be stolen by these intelligent machines.
Based on the working mechanisms of the scientist who created them, the produced AI applications can write simple pieces of code based on existed data or even suggest and correct faulty code written by programmers, but they lack prioritization, can’t solve the important problems at hand or streamline tasks like a human. Besides, all AI tools are invented from the erudite human brain and under our control, they do not have breakthrough creativity or sublimation of emotions as well as processing sensitivity to new problems like a real programmer.
In some actual cases, AI continues to fail and causes many problems for businesses such as: In 2016, Microsoft forced the release of a Twitter bot called Tay, which was designed to mimic the way talking a 19-year-old girl in the US to interact with users on the platform, but then the bot Tay posted many offensive lines on Twitter; Or in 2017 Facebook also stopped 2 bots that talked to people on their own because their conversations were not understood by anyone. With the preceding two examples, we can clearly see the role of humans in controlling AI, their operation is dependent on humans, and AI technology, no matter how intelligent it is, still has errors because there is no inherent flexibility of the programmer. Especially in the ever-changing and constantly changing technology industry, only humans can respond and flexibly handle unique requests from customers, and markets.
The world is moving on another day, another new thing. AI technology will rise up in the footsteps of humanity, always the most useful tool to help our lives become more beautiful and perfect.