Just when we thought coding cannot get any simpler, Github Co-Pilot enters the room to prove us all wrong. We know how exciting the news is for all the developers and programmers out there, because trust us, we are amazed by its potential too!
It’s possible because it encircles itself with an Artificial Intelligence enabled platform that adapts and makes the machine familiar with the way you code to finish the rest of it for you.
Also, the potential of the tool does not stop there. GitHub Co-Pilot can assist you in learning a new programming language right from scratch! Isn’t that great!
What’s All The Buzz Around Github Co-Pilot?
Github announced its brand new creation, i.e- Copilot on 29th June 2021 which is a powerhouse developed by GitHub itself and Open AI. The platform offers a helping hand to the users of Visual Studio Code in generating codes automatically without any manual efforts.
The process involves a way to tap into the coding style of a particular programmer to make their code better and fast-track the entire process. It draws context either from the current lines of code you are working on or the entire function to get itself started with.
How Does Github’s Co-Pilot Work?
The tool follows various patterns to solve your coding mysteries for mobile and web app development in a swift manner. Github Copilot uses OpenAI Codex, i.e- a deep learning model that instantly suggests and predicts the further lines of auto-generated codes.
From a pool of already existing depositories, the tool picks the open-source code present on GitHub to collect data that best fills the gap. Its USP lies in its ability to crack the methodology used by the programmer to write codes in a certain way and style.
Below are a few patterns you may notice while using the tool:-
- The algorithm analyses your coding pattern
- It picks and adapts to your pattern
- Reads and declares the function of your pattern
- Suggest more than one line of code for you to pick the best one
- You can edit the pre-generated code to tailor it as per your choice
- Any redundant codes are auto-filled with its smart features
- Creating unit tests for all your methods is extremely seamless
Can We Expect Accurate And Flawless Lines Of Code?
Yes and No. What we mean here is it does a great job and you will be amazed to see how it picks the right search intent every time in suggesting codes or entire functions for that matter.
GitHub CEO, Nat Friedman, clarified that the Co-Pilot has tremendous capability to beat even the GPT-3 code generation. It’s a compelling tool that was tested on large data sets that included a massive concentration of public source code and improved accordingly.
And as humans become sharp with practice, the machine also keeps updating its algorithm. It works on how often you accept or deny its suggestions, based on which the tool’s performance can be improvised further.
But in the end, you cannot trust the tool blindly to take over the development process without dedicating time to at least review the code once. You will always need to quickly go through it to make absolutely sure the code is in sync with your requirements. This tells and reminds us, even though we are progressing with artificial intelligence services but are not quite there yet.
Github’s Co-Pilot’s Compatibility With Other Frameworks And Technologies
How Secure Is Your Private Code Within The GitHub Community?
When it comes to privacy and confidentiality, Github assures it will only use data collected from your end to improve the existing AI model. When you accept or reject any suggestion put across by the tool, it takes it as a heads up or down via making use of telemetry rules of conduct.
Currently, Visual Studio Code can leverage the technology so the access is limited to a small group of programmers. Although in the future, when the tool is available to a wider audience, the security standards would be reconsidered.
Addressing The Elephant In The Room
Yes, you guessed it right. We are also wondering if GitHub’s Co-Pilot is a boon or a bane for the entire software development industry. Can this intuitive yet powerful tool replace and match the potential of human coders? The short answer is No. Here’s why!
Coding takes up only 20% of the entire software development process, the rest of the time is taken up by testing, debugging, and maintaining code. And that can’t be done by a machine whatsoever. A human eye, cognitive mind, and creative thinking are necessary to bring the best results even into your digital products.
Also, Co-Pilot follows a verbose pattern wherein the codes generated are a lot! This means you will automatically end up maintaining code more than curating it. Plus the suggestions made by the tool will never be entirely as per what you had in mind. So tweaking them a little every now and then is something you will have to be prepared for.
Summing It Up
GitHub’s Co-pilot is a transformational product, hands down! But that does not necessarily put you in a sweet spot as a coder yourself. You need to re-check and re-evaluate your codes to ensure you induce the best usability and experience across mobile app development and websites you create.
It’s up to us if we make artificial intelligence services work in our favour or let them outshine the way we have worked for so many years. Use the tool to get some burden off you but be mindful to step in whenever required.
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