GitHub Copilot Reviews and Ratings

Use Cases and Deployment Scope

The department gathers all business requirements that in order to achieve them and make them real, we need to develop code. Here is where GitHub Copilot plays its role. We have Visual Studio Code and Eclipse installed in the developers local environments and we have installed the extension that helps us in developing and reviewing the code.

Likelihood to Recommend

One of my favorite features is for documenting and generating comments. Great quality of the comments making your code more maintainable and easy to share among developers. Another scenario where it helps a lot is for generating unit testing, that tedious task where developers often feel more lazy, with GitHub Copilot it is much quicker.

Use Cases and Deployment Scope

Development teams in our organization use GitHub Copilot to improve productivity while working on .NET applications in the Visual Studio IDE. Before using GitHub Copilot, our developers depended on Google searches, AI tools, and developer forums to get help with development tasks. With GitHub Copilot now integrated into Visual Studio, they have a one-stop solution that eases their development process.

Likelihood to Recommend

GitHub Copilot is beneficial when writing .NET code and needing on-the-spot assistance with development tasks such as code suggestions, bug fixing, and code optimization. It is also helpful when you are new to a technology and want to learn and use it faster. However, it might not be appropriate where you are dependent on GitHub Copilot. You can use it for assistance, but not as a replacement for your understanding and logic.

Use Cases and Deployment Scope

I use GitHub Copilot daily. It became a great time saver from the first day I started using it, and it has only gotten better since.

It helps me write the boring boilerplate code, giving great suggestions for what to write next, and it gives me ideas on where to go from my current location and onwards.

Likelihood to Recommend

It solves the boring parts of development, the tedius creation of forms, writing basic validation, expanding enums, and it helps out suggesting solutions to complex logic - just make sure you read the code it throws at you!!

Use Cases and Deployment Scope

We program using popular programming languages. GitHub Copilot does an excellent job at filling in some of the blanks. It is great at reading the docs and showing up improvements to our code. While it is not always perfect, many times it is able to provide us with a solution that is very close to what we need and then we can make the necessary adjustments from there.

Likelihood to Recommend

It is best suited for someone who has enough experience in programming to know what it is doing and why.

It would not be best for someone who is just starting out as it may cause someone to bypass some of the necessary foundations for good programming.

Basically, it is a tool, not something that is going to do the work for you. This is the way it SHOULD be.

Use Cases and Deployment Scope

GitHub Copilot is employed in our organization to accelerate development

by offering AI-powered code suggestions. It reduces coding errors,

supports various languages, and aids in learning and training. It's

particularly beneficial for pair programming and collaborative efforts,

and facilitates rapid prototyping. Copilot seamlessly integrates into

existing workflows, potentially automating code generation and assisting

with documentation. Its scope of use varies based on project needs,

from extensive adoption across all projects to targeted application for

specific tasks or projects.

Likelihood to Recommend

GitHub Copilot excels in scenarios demanding rapid prototyping or

proof-of-concepts, where speed is paramount. It shines when tackling

boilerplate-heavy tasks, like setting up authentication or handling file

I/O. It's less suited for highly sensitive or critical code, where human

scrutiny and manual verification are essential. Additionally, in novel,

cutting-edge technologies where well-documented patterns are scarce,

Copilot's suggestions may be less reliable.