Streamline Development with New Amazon Q Developer Agents

Since the development of the software is growing rapidly, developers are constantly looking for tools that can smooth their workflow, improve code quality, and promote production capacity. Amazon Web Services (AWS) has responded to this call with the introduction of powerful new AI agents for the Amazon Q. Developer.

AI -powered agents have changed ways to approach developers documents, unit testing, and code studies. Agents are autonomous software programs that can interact with their environment, collect data, and use these data freely to achieve the default goals. They are rational, make their informed decisions based on their impressions and data to improve performance. AI agents can bring benefits such as better production capacity, low costs, improved decision -making, and consumer experience. Amazon Qi developer has three new agents: /docFor, for, for,. /testAnd /review. In this post, we will find each of them in some more detail and talk about how you can add them to your daily development workflow.

The first agent issued for the Amazon Q Qi developer was the software developer agent last year. /dev The agent allows you to make new features or fix the problems in your plans, to create a new code within your own IDE or make changes to the code. Provide the work you want to meet easily, and Q Developer will analyze the selected context from your existing code base to create the necessary code changes. Q Developer can help you create new AWS applications or update existing individuals, which provides a phased summary of its changes and allows you to easily accept or reject the proposed amendment – Qi developer has the ability to handle everything from creating new API closing points until the database questions are improving, /Dave feature is an easy tool for any developer that from easy to complex tasks Works on

In the coming parts, let’s dive into how we can use these new agents in terms of application.

Provisions

Amazon Qi Developer to start using, the following is required:

Note: The Amazon Que Developer supports extra Ides such as lunar eclipse and visual studio pro, but only agent support is active in the aforementioned people.

Review of the request

You are a software engineer in a technology firm and has been entrusted with the task of developing documents, connecting unit tests and enhancing the security currency of the application below. The application uses server -equipped architecture with Amazon API gateway, AWS Lambda and Amazon Dynamodb services and applied comfortable APIS in Azar.

We have learned that Qi Developer’s new documents, tests, and security scanning agents can help with application software development Life Cycle (SDLC). SDLC is a fly wheel that has numerous steps such as planning and research, coding, documents, testing, construction, construction and deployment, operation and maintenance.

With the new Q. Developer agents, let’s see how we can put them as part of the SDLC with the aforementioned application.

The breed of documents (/docJes

Creating and maintaining application documents is often one of the most often used aspects of software development and often neglecting aspects. Detailed documents empower team members and stakeholders about codes, design and architecture. It enhances reading qualifications, facilitating fast on -boarding to accelerate the development of new features and functionality, and smooth SDLC works. The introduction of /doc The agent in the Amazon Qi developer makes this process easier and faster. The Amazon Que Developer can now automatically produce new redam files by analyzing the code in your selected folder or analyzing the code in the folder you selected and recommending similar actions in the existing documents. In addition, the developers can take advantage of the natural language to request specific amendments to their files to add customs summary, making the whole process more intuitive and user -friendly. These abilities help reduce the burden on development teams while maintaining accurate and sophisticated project documents as teams run applications.

The above application does not have detailed Readme and the following example shows how you can benefit /doc Visual Studio Code (VS Code) IDE in IDE to help prepare detailed documents for the application code base.

Instant:

/doc Create a README

The best process when using Q developer /doc Agent:

• Consider the application of documents by targeting the specific directory of the documentation, the specific directory of the documents.
• Maintain a well -manufactured and systematic code with good name conventions to improve the quality of the documentation.
• Be specific when explaining the changes you need in your Red Me.

Note: /doc The feature supports different types of file, including. Template files, requirements. TXT, Package. It is important to note that there is a space quota, such as the maximum current Redm size 15kg B and the code project size range 200 MB non -compressed or 50 MB compressed.

Unit Test Generation (/testJes

Test -driven development is a common SDLC best process. It is a part of the unit testing, which is a base for maintaining the code quality. The unit helps to catch the worm quickly and minimize the tech loan. However, the process of writing a comprehensive test has traditionally demanded significant time and effort by development teams. Latest /test The agent in the Amazon Q Qi developer is an important solution that automatically enables the testing process and enables developers to help maximize energy growth and solve the problem. The tool is equipped with many powerful abilities that smooth the test work flu. It automatically identifies the necessary test cases, produces appropriate jokes and stabbes of the isolated testing scenario, and produces test code based on identified cases. Currently supporting both Java and Azgar projects, this feature is found with a popular development environment without interruption that includes VS Code and Jet Brian Ides, which makes it an invaluable asset for modern development teams. They have to increase their testing methods while the productivity is maximized.

With the new Q Developer /test The agent, you can prepare the unit test by describing the code section such as class, function or procedures and also highlight the code to prepare the test within the IDE. In the following example, you can see the use of /test Agent to prepare the unit test for the open file (add_item.py) that adds new items to the Dynamodb table.

Instant:

/test generate unit tests for the lambda_handler method that is adding items to dynamodb table

Using Amazon Qi Developer /test Agent to prepare unit tests

Amazon Qi developer uses from selection of code to unit tests to prepare the test within the IDE

Note: The unit supports Java and plans for the Qi developer agent VS Code and Jet Brian Ides for the test. View language and framework support for unit test generation /test. /test The feature handles various special issues, such as non -collaborated languages ​​or framework, non -public methods in Java, and to reach the limits of monthly use. It is designed to provide a smooth user experience with helpful guidance throughout the process.

Enhance the quality and security of the code (/reviewJes

Code reviews have become an indispensable part of maintaining high quality in software development, and Amazon Qi Developer’s new /review The feature is changing this important process with a powerful AI-drive code analysis. This modern tool brings the comprehensive code analysis capabilities for your fingers, which enables development teams to identify and solve potential issues before they are involved in serious problems. Users can take advantage of constant code scanning that works without interruption when they write, while receiving full issues with clear explanations and viable recommendations. Even this feature goes a step forward, making it easier than ever to put into practice directly necessary improvements within your code.

/review The security’s security detection capabilities cover a number of potential issues to ensure full code analysis in several dimensions. Q Developer /review Feature performs static application security testing (SAST) to identify the security risks, apply secrets to prevent exposure to sensitive information, and as code (IAC) files for potential matters Analyzes infrastructure. This has mainly changed the security in the SDLC, which enables developers to detect security weaknesses in the development cycle before the code is bound to repository and thus the overall currency of security and Code quality can be improved. In addition, the tool code evaluates the quality factors that can affect maintaining and performance, assesses the dangers of potential deployment, and holding software composition analysis (SCA) for third -party code Does This comprehensive approach for the code review helps development teams maintain high quality, secure and efficient code base while the review process significantly smooth.

In the following example, you can see how you can benefit /review Code scanning features throughout the application workplace, including the application codes and infrastructure tarifferum code, and then improve it. Optionally, you can also choose to scan active open files in IDE.

Instant:

/review

Note: /review Input article size, along with the range of the source code size for both the limits and the auto reviews and the full project scan, maintains quota to ensure maximum performance. More details can be found here

Conclusion

Innovative agents in Amazon Qi Developer – /docFor, for, for,. /testAnd /review -From the management of documents to testing and code reviews, directly resolve some difficult and timely aspects of the developmental life cycle. By automating important tasks such as Redam Creating or Rehabilitation, Unit Test Generation, and Comprehensive Code Analysis, development teams can significantly increase their productivity by maintaining high standards of code quality and security. The ability to catch potential issues quickly and smooth development life gives teams the option to work more efficient and efficiently. However, it is important to remember that these AI-powered features are designed to fulfill human skills instead of changing human skills-they work as intelligent assistants who enhance developers’ abilities. However, they still rely on their professional decisions to ensure maximum results of the project. These tools stand as the main examples of how AI can be benefited to overcome traditional developmental challenges while teams enables teams to focus on the most important: extraordinary Creating software. Hug these new features, and take your development process to the next level with the Amazon Q. Developer. Refer to more information about the Amazon Que Developer and the search for modern methods to accelerate the development and software development. These agents are a widely independent level of Q developer features, you can start with them today!