Transforming the Art of Coding: GitHub Copilot for Business is Available For Developer, Team, and Enterprise

The future of AI programming has arrived. Github Copilot, an at-scale AI developer tool is now available for business. This exciting tool was first unveiled as a partnership with OpenAI in 2021.

Github’s copilot sits within the editor as an extension and then extracts context from a developer’s code.  It then recommends new lines, entire functions, and even complex algorithms. Since its inception, Github has managed to transform around 1 million developers’ productivity, enabling them to code up to 55% faster.

Interestingly, more than 400 organizations are implementing GitHub Copilot and now with the release of GitHub for Business, this tool is open to every developer, team, organization, and enterprise.

The blog explains that GitHub for Business is ‘trained on billions of lines of code, GitHub Copilot turns natural language prompts into coding suggestions across dozens of languages’.

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What is GitHub Copilot?

It’s an at-scale AI developer tool that helps coders and programmers with autocomplete-style suggestions from an AI pair programmer in real time as they code. The tool will provide suggestions as the users start to write the code they wish to use or simply write a natural language comment that describes the code’ function.

As far as the privacy of the code goes, developers need not worry as Github firmly believes in responsible practices and makes sure that your code prompts are not recommended to another Github Copilot user

The company is also rolling out more advanced OpenAI models and the newer potential to benefit organizations.

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GitHub Copilot – Its Use

Comment to code: GitHub Copilot relies on a special version of GPT, specifically trained on a large body of public source code. It works well with writing natural language as well as writing code and has the capability to complete your comments.

Create Unit Tests: Another major feature of GitHub Copilot is relieving the coders from the exhausting task of writing unit tests. To use this feature, coders can import the unit test package, and then begin writing a test function and allow Copilot to generate the asserts. To accept, hit the Tab key.

Create a SQL Query: Another striking aspect of GitHub copilot is to generate a code in Go with an embedded SQL. To make this happen, show GitHub the schema as CREATE TABLE statements. And then, GitHub will write a query embedded in Go, and convert the result to a Go class.

GitHub Copilot for Business – How it Will Help Organizations

Unleashing the power of AI: It is an established fact that millions of developers are already benefitting from GitHub Copilot. With this tool, coders are now able to build software quicker, stay in the flow longer, and find solutions to problems in new ways—from the comfort of selecting the editor of their choice including  Visual Studio to Neovim, VS Code, or JetBrains IDEs.

Simplified license management process: GitHub allows the administrators to enable GitHub Copilot for their teams and also have the freedom to select the organizations, teams, and developers to receive the licenses.

Policy management: To enforce user settings, you can have policy controls for public code matching on behalf of your organization.

Privacy: GitHub does not retain, store or share the code snippets irrespective of where the data comes from – public repositories, private repositories, non-GitHub repositories, or local files.

For an organization, the mark of success and productivity is when its developers are able to fix bugs faster and are free from writing unit tests, and are able to focus more on bringing in more advanced technologies.

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In June 2022, GitHub reported that GitHub Copilot was already generating 27% of developers’ code and today, the average has reached 46%. The company’s research reveals that 90% of developers using GitHub Copilot report completing tasks faster, with 73% able to conserve mental energy. These numbers are a testament to GitHUb Copilot’s massive potential and what the future of coding and programming will look like.