Photo by Editor | Chat GPT
Focused products around large language models (LLM), such as Chat GPT Or GymnonyHow the developers work, have changed, making it easier to develop a working code without a full understanding of basic concepts. Likes tools Gut Hub Or Cursor Show that AI can promote effective code and developer production capacity. However, these tools sometimes fail to understand our ultimate goal and can produce poor codes in a long time.
AI research is one of the currently promoted areas, where tools can create our needs, understand their intentions, and implement the steps by us. With an agent, we may have an intelligent assistant who understands our code base, works in files, explains the code behavior, and understands our ultimate goals – all the capabilities that Amazon Kero provides.
This article will look for Kero and how it can help you work. Let’s enter it.
. Vibing with kiro
Cargo The AWS team is an integrated development environment (IDE) that uses AI agents directly in the environment. As the Caru Tagline suggests, “Go to a viable code from web coding,” the goal is to extend a developer’s Veb coding prototype to the production code for production. It works because Kero provides projects, reasons and suggestions that users can review and apply. This applies to the code, because the Kero will help the user to set up work as a permanent workflow using design, preparing design, testing, testing, and using AI agents.
Kero is primarily different from popular tools like Gut Hub Coproot. Although the Gut Hub Colat acts as an automatic tool that enhances individual files with limited context, the Caro emphasizes improving the entire system using a planned plan for the development project.
Kero works in two important ways:
- Veb: Talking with this project using natural language to discover and develop ideas. When users need a single file editing immediately or want to find different solutions, it is commonly used as an open indicator to handle multiple requests. Examples include the same application, such as “Write Page Weapon” or “Clear to join this SQL.”
- Specific: Plan first, then make the project. It develops and maintains speculation requirements, design and tasks that the agent processes in multiple files to produce codes, documents and tests. The idea is to turn the goal into a project and allow the agent to implement it while maintaining documents. This approach is perfect if we understand the solution we want and want to expand this project. For example, we “add email verification and resetting passwords.” Like uses a spectrum.
Kero separates the cost and use allocated for specific and vibes, reflecting how we work. The recommended workflow is to initially follow the Veb to find the solution and draft the desired specification, then go to the speaker to prepare a detailed plan and prepare the ship’s features when document.
In addition to the Veb and the Spac, some other prominent features have featured Kero:
With all these features, Kero’s obvious purpose is to developers who want to accelerate their development period by maintaining the necessary methods of engineering such as documents and design.
Currently, Kero is only accessible through a free preview, and interested users must include Weightlist To try IDE. The team has announced the future levels: Free, Pro (\ $ 20), Pro+ (\ 40)), and Power (\ $ 200) offers different monthly allowances for vibe and specific requests, in which the optional top ups are on \ 0.04 per vibe and \ 0.20 per speculation. In addition, it is a two -week trial that provides additional use to users who can access the IDE.
Any interested user can download and install IDE by following this Installation Guide. Once you get a code for the waiting list, you can find it Project page To start your first Amazon Caru Project.
. Conclusion
Amazon Kero is an agent IDE that is designed to promote developer productivity more efficient than standard AI IDE tools, which often acts only as automatic tools. Kero works in two ways, Veb and Speakes, which support each other. Kero also offers many features that increase production capacity, such as hooks, steering, auto pilots, access to MCP server, and strong security.
However, Kero is currently limited to users in the weightlist, so it may be some time before it is widely available. However, once it is open to the public, IDE has the potential to significantly improve the developer’s production capacity.
I hope it has helped.
Cornelius Yodha Vijaya Data Science is Assistant Manager and Data Writer. Elijan, working in Indonesia for a full time, likes to share indicators of data and data through social media and written media. CorneLius writes on various types of AI and machine learning titles.