Watch This Artificial Intelligence (AI) Code, Design, Test & Deploy on AWS with eventualAi!
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In this video, Founder Sam Goodwin walks us through an exciting demonstration of how a service can be developed and deployed using an innovative AI program called eventualAi. The highlight is how eventualAi turns a regular, human-written document describing system requirements into a fully working, deployed service on AWS, managing all stages of design, implementation, and deployment.
Here's how the process works:
Crafting the Blueprint: The team starts off by creating a document that outlines what the system needs to do. It's as simple as describing the different users, the actions they can perform, and how these actions are realized. They repeat this process for data queries and operational processes, or "workflows".
Design by AI: Next, they feed this document into eventualAi's intelligent agents. The AI starts breaking down the requirements into a comprehensive technical design, detailing elements like input and output properties, their data types, and more. What's remarkable is that the AI also explores possible success and failure scenarios, details that typically a human engineer would have to wrangle with. It doesn't stop there - the AI also reviews and refines its work, ensuring it's consistent and high-quality, and does this for all the different components of the infrastructure.
Let the Coding Begin: The detailed designs created by the AI are then put into a code generator. This powerful tool, also driven by AI, generates the code that brings the requirements to life. It works on multiple fronts at once, creating a variety of elements like entities, events, tasks, and commands, all implemented in TypeScript.
Inspecting the Design: Our presenter then takes us through the outputs, including the Prisma schema and data underpinned by DynamoDB, as examples of the high-grade code that the AI is capable of producing. This code incorporates events such as account creation, data retrieval queries, and transactions like adding bikes into a database.
Workflow Mastery: One of the standout capabilities of eventualAi is how it deals with intricate workflows. It handles complex operations like processing payments, locking bikes, and sending notifications at the end of a ride. What's more, it's savvy enough to handle error scenarios intelligently, a chore typically left to human engineers.
Ready for Launch: In the final step, the system employs a framework to seamlessly deploy the service directly to AWS, adhering to best-practice server architecture. This includes generating IAM policies, Lambda functions, tables, and a whole lot more. It bundles all the code and proceeds to deploy 81 resources as a part of the process.
In summary, the video illustrates the amazing potential of eventualAi's capabilities to automate the process from writing a requirements document all the way to deploying a fully functioning service on AWS. This is a game-changer in streamlining the software development process.
Learn more at https://www.eventual.ai/