ChatGPT, Copilot and Programmers: Collaboration or Substitution?

Mai 16, às 17:30


2 min de leitura


1 leituras

Generative neural networks such as ChatGPT can create text, code, and images based on given queries. ChatGPT, developed by OpenAI, has gained enormous popularity and attracted one million users in just 5...
ChatGPT, Copilot and Programmers: Collaboration or Substitution?

Generative neural networks such as ChatGPT can create text, code, and images based on given queries. ChatGPT, developed by OpenAI, has gained enormous popularity and attracted one million users in just 5 days. It stands out for its ability to understand context and engage in meaningful dialogues.

The success of ChatGPT led Microsoft to invest $10 billion in OpenAI, recognizing the future potential of generative neural networks. However, while these networks have proven their usefulness in writing code, they are not expected to completely replace programmers. Programmers still play a critical role in formulating tasks, testing code, and ensuring maintainability.

Programmers must create error-free and readable code because changes may be needed at any time. They must also understand the project's context, including existing code, business logic, code design standards, and interactions with other services and APIs. Training a neural network to fully understand these aspects requires a significant amount of time, specific context, and a lot of data.

Generative neural networks such as Copilot have the potential to change the programming profession. They force programmers to break down tasks into smaller components for which code can be generated by a neural network, and programmers are responsible for testing and combining those pieces of code. Copilot has already attracted more than a million programmers and improved their efficiency.

The introduction of Copilot and similar tools may raise concerns about job cuts in programming. However, history shows that increases in programmer efficiency caused by advances such as high-level programming languages have not led to massive job losses. The demand for code continues to grow, and there are still many unresolved problems that require human expertise.

While Copilot can be a useful tool for automating routine tasks in development, its use as a mandatory tool can also make it difficult to get started in the profession. Automating routine tasks reduces their volume, but more complex tasks require greater understanding and expertise.

In conclusion, the interaction between generative neural networks such as ChatGPT and Copilot and programmers is a collaboration, not a complete replacement. Programmers will continue to play a key role in development because they have the necessary contextual understanding of the project and can provide flexibility and development.

Continue lendo


Simplify Your Documentation Workflow with MkDocs: A Markdown-based Alternative to Sphinx
Introduction: Documentation is an essential aspect of software development, enabling developers to communicate effectively with users and fellow developers. Sphinx and MkDocs are two popular documentation...

Hoje, às 08:30


Is It Burnout or Job Dissatisfaction?
Once suspended, devteam will not be able to comment or publish posts until their suspension is removed. Once unsuspended, devteam will be able to comment and publish posts again. Once...

Hoje, às 07:00

Hacker News

Experiences Won't Make You Happier Than Possessions
You will be happier if you spend your money on experiences rather than possessions… or so says the modern truism, supposedly proven by psychological science. Researchers call it the “experience...

Hoje, às 06:57


Perfect Number Program in C
For explanation watch video Perfect Number : In mathematics, a perfect number is a positive integer that is equal to the sum of its positive divisors, excluding the number itself. ex : 6 = 1,2,3 < 6...

Hoje, às 06:52


Left Shift Bitwise Operator in C Programming (Short Trick)
Read next Leveraging Cache to improve Web Performance Jakub Andrzejewski - May 8 How to develop an online code compiler using Java and Docker. Zakaria Maaraki - Apr...

Hoje, às 06:49


¡Adiós Options API, Hola Script Setup! La no tan nueva forma de programar en Vue 3
script setup proporciona una forma más concisa de utilizar la Composition API en Single File Components (SFCs). En su versión 3, Vue introdujo un nuevo sistema para organizar el código de los componentes...

Hoje, às 06:24


How to implement subscription model using LemonSqueezy in Next.js (13.4 stable app router)
Table of contents Introduction Getting Started Setup Next.js app User Registration Setup LemonSqueezy account How subscription works Implementing Subscription Creating a checkout Synchronization with...

Hoje, às 06:00


How to FIND the QUESTIONS that will be in an interview
Trying to figure out what exact areas to study/practice to prep for an upcoming tech interview can be stressful! In order to maximize your chances of success and ensure a strong performance during the...

Hoje, às 04:08


What you learning about this weekend?
Heyo 👋 What ya learning on this weekend? Whether you're sharpening your JS skills, making PRs to your OSS repo of choice 😉, sprucing up your portfolio, or writing a new post here on DEV, we'd like to hear...

Hoje, às 04:00


Injecting AWS secrets to HarperDB container with Python
In this post we'll see how we can inject the username and password secrets stored in AWS as environmental variables to the HarperDB container in a few ways. First, we would cover some AWS Secrets manager and...

Hoje, às 02:28