AWS Developer Experience

 In AWS, builder are empowered to build secure, faster and better code through the tools available to them by AWS. We shall break down those tools in this blog.


1. Amazon Q Developer (formerly known as Code Whisperer)

This is AI to help builder to generate sample code that was trained by AWS. you can use your favourate programming languages like python, java, typescript/javascript and c#.  This can integrate with popular IDE like visual code, visual studio, pycharm and intelliJ. 

2. Amazon Q (primarily consists of Amazon Q Business App and Amazon Q Developer)

It is Generative AI asisstance can help answer your questions just like ChatGPT. If a company have common tools or API, you can also trained Amazon Q to understand how the api been use so the developer in the company can use Amazon Q to guide them how to use those tools or API. Amazon Q wont use the data to train it model. Data within the company stay in the company. Developer can integrate Amazon Q into Visual Code and they can highlight the code to ask Amazon Q to explain the function of the code.

3. CodeGuru 

It primary function to help Developer automate code review and also profilling the code when deployed to you dev/prod environment. Primary focus improve developer code quality. Follow are the 2 features:

  1. CodeGuru Reviewer: This component automatically reviews source code submissions and provides recommendations to improve code quality, identify potential bugs, and suggest optimizations. It supports several programming languages, with a focus on Java and Python, and integrates with existing development environments and workflows, such as GitHub, Bitbucket, and AWS CodeCommit. CodeGuru Reviewer can detect a wide range of issues, including resource leaks, potential concurrency problems, incorrect input validations, and deviation from best practices.


  3. CodeGuru Profiler: This component focuses on application performance optimization. It helps developers understand the runtime behavior of their applications, identify and remove code inefficiencies, improve application performance, and reduce operational costs. CodeGuru Profiler collects runtime data, including CPU utilization and memory allocation, and provides an interactive interface to visualize the application's performance profile. This helps developers pinpoint the most expensive lines of code in terms of resource consumption and provides actionable recommendations to optimize performance.

4. DevOps Guru

It is a service to help monitor your applications and detect any anomoly like High CPU usage, DDOS, bad code deployment and more. It uses Cloudwatch Log and Cloudtrail to recommend developer. For Example, if a code deployed and contain high 50x error, Devops Guru will send notification (you need to configure through SNS) to inform you what is happen and recommended action like roll back, it also monitor your ALB, APIGateway. It can also self adapt into the traffic e.g through out the time when there is a high Request, it will adjust the alarm rates hence eliminating the false-positive alarm.


With these 4 tools, builder can focus on the "what" to build without worrying on How part.


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