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Amazon CodeWhisperer is an AI coding companion that helps enhance developer productiveness by producing code suggestions primarily based on their feedback in pure language and code within the built-in growth surroundings (IDE). CodeWhisperer accelerates completion of coding duties by lowering context-switches between the IDE and documentation or developer boards. With real-time code suggestions from CodeWhisperer, you may keep targeted within the IDE and end your coding duties quicker.
CodeWhisperer is powered by a Massive Language Mannequin (LLM) that’s educated on billions of traces of code, and consequently, has discovered how one can write code in 15 programming languages. You’ll be able to merely write a remark that outlines a particular process in plain English, similar to “add a file to S3.” Primarily based on this, CodeWhisperer robotically determines which cloud companies and public libraries are finest suited to the desired process, builds the particular code on the fly, and recommends the generated code snippets straight within the IDE. Furthermore, CodeWhisperer seamlessly integrates along with your Visible Studio Code and JetBrains IDEs so to keep targeted and by no means go away the IDE. On the time of this writing, CodeWhisperer helps Java, Python, JavaScript, TypeScript, C#, Go, Ruby, Rust, Scala, Kotlin, PHP, C, C++, Shell, and SQL.
On this put up, we illustrate how Accenture makes use of CodeWhisperer in follow to enhance developer productiveness.
“Accenture is utilizing Amazon CodeWhisperer to speed up coding as a part of our software program engineering finest practices initiative in our Velocity platform,” says Balakrishnan Viswanathan, Senior Supervisor, Tech Structure at Accenture. “The Velocity workforce was searching for methods to enhance developer productiveness. After trying to find a number of choices, we got here throughout Amazon CodeWhisperer to cut back our growth efforts by 30% and we at the moment are focusing extra on bettering safety, high quality, and efficiency.”
Advantages of CodeWhisperer
The Accenture Velocity workforce has been utilizing CodeWhisperer to speed up their synthetic intelligence (AI) and machine studying (ML) initiatives. The next abstract highlights the advantages:
- The workforce is spending much less time creating boilerplate and repetitive code patterns, and extra time on what issues: constructing nice software program
- CodeWhisperer empowers builders to responsibly use AI to create syntactically appropriate and safe functions
- The workforce can generate complete features and logical code blocks with out having to seek for and customise code snippets from the net
- They’ll speed up onboarding for novice builders or builders working with an unfamiliar codebase
- They’ll detect safety threats early within the growth course of by shifting the safety scanning left to the developer’s IDE
Within the following sections, we focus on a few of the ways in which the Accenture Velocity workforce has been utilizing CodeWhisperer in additional element.
Onboarding builders on new initiatives
CodeWhisperer helps builders unfamiliar with AWS to ramp up quicker on initiatives that use AWS companies. New builders in Accenture had been capable of write code for AWS companies similar to Amazon Simple Storage Service (Amazon S3) and Amazon DynamoDB. In a brief period of time, they had been capable of be productive and contribute to the challenge. CodeWhisperer assisted builders by offering code blocks or line-by-line solutions. Additionally it is context-aware. Altering the directions (feedback) to be extra particular leads to CodeWhisperer producing extra related code.
Writing boilerplate code
Builders had been in a position to make use of CodeWhisperer to finish conditions. They had been capable of create a preprocessing knowledge class simply by typing “class to create preprocessing script for ML knowledge.” Writing the preprocessing script took solely a few minutes, and CodeWhisperer was capable of generate complete code blocks.
Serving to builders code in unfamiliar languages
A Java person new to the workforce was capable of simply begin writing Python code with the assistance of CodeWhisperer with out worrying concerning the syntax.
Detecting safety vulnerabilities within the code
Builders had been capable of detect safety points by selecting Run safety scan of their IDE. Detailed insights on the safety points discovered are offered straight within the IDE. This helps builders detect and repair points early.
“As a developer, utilizing CodeWhisperer allows you to write code extra shortly,” says Nino Leenus, AI Engineering Marketing consultant at Accenture. “As well as, CodeWhisperer will make it easier to code extra precisely by eliminating typos and different typical errors with assistance from synthetic intelligence. For a developer, writing the identical code a number of occasions is tedious. By recommending the next code items that you could be want, AI code completion applied sciences cut back such repetitious coding.”
Conclusion
This put up introduces CodeWhisperer, an AI coding companion by Amazon. The instrument makes use of ML fashions educated on massive datasets to offer solutions and autocompletion for code, in addition to generate complete features and courses primarily based on pure language descriptions. This put up additionally highlights a few of the advantages seen by Accenture when utilizing CodeWhisperer, similar to elevated productiveness and the flexibility to cut back the effort and time required for frequent coding duties. You’ll be able to activate CodeWhisperer in your favourite IDE at present. CodeWhisperer robotically generates solutions primarily based in your present code and feedback. Go to Amazon CodeWhisperer to get began.
Concerning the Authors
Balakrishnan Viswanathan is an AI/ML Resolution Architect at Accenture. Collaborating with AABG, he devises and executes cutting-edge cloud-based methods to deal with numerous AI/ML associated challenges. Bala’s pursuits lie in each cooking and Photoshop, which he’s obsessed with.
Shikhar Kwatra is an AI/ML specialist options architect at Amazon Net Providers, working with a number one World System Integrator. He has earned the title of one of many Youngest Indian Grasp Inventors with over 500 patents within the AI/ML and IoT domains. Shikhar aids in architecting, constructing, and sustaining cost-efficient, scalable cloud environments for the group, and helps the GSI companion in constructing strategic trade options on AWS. Shikhar enjoys enjoying guitar, composing music, and working towards mindfulness in his spare time.
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