Lazy AI and Stripe templates
Read this article to learn how to use Lazy AI for software development. See the biggest use cases for Lazy AI in application development and how it uses Stripe API to develop the backend of various payment solutions.
Lazy AI is as a revolutionary no-code application development platform that shatters the traditional barriers to application development. By harnessing the power of natural language processing and machine learning, it helps users to build custom applications without writing a single line of code. This makes software development drastically easier, making it accessible to everyone, regardless of technical expertise.
Lazy AI provides pre-built templates for popular application types – mobile apps, web apps, chatbots, etc. This allows for rapid prototyping and development, enabling users to quickly bring their ideas to life. Additionally, the platform seamlessly integrates with various APIs and services, granting developers the ability to connect their applications to external data sources and functionalities, unlocking a vast potential for customization and innovation.
As the name suggests, the heart of Lazy AI is its versatile AI engine. This intelligent system can automatically translate user specifications into functional code, eliminating the need for extensive coding knowledge and drastically reducing development time and effort. As a cloud-based platform, Lazy AI boasts the advantage of accessibility from any device, further enhancing its ease of use and convenience.
Lazy AI represents a noticeable paradigm shift in the world of application development as a whole. It manages to remove the over-reliance on coding skills when it comes to custom solutions and specific needs. This transformative approach has the potential to revolutionize the way we develop and interact with technology, opening doors to a more accessible future for the software creation field.
Lazy AI's arsenal of benefits disrupts the traditional landscape, paving the way for a more inclusive and efficient future:
Some of the biggest use cases for Lazy AI so far revolve around app development, in one way or another. It can be the creation of a smartphone app with minimal technical skills, the creation of a business app for simple tasks (automation, data management), or even the creation of rough drafts for testing and validating purposes.
The solution itself is still considered to be under active development. Still, with the number of different results it can show at this point – it is not that unrealistic to expect far bigger things from Lazy AI in the future. For example:
On the topic of templates – there are plenty of examples to choose from on the official Lazy AI website already, with more to come in the future. There would be two different examples of templates that revolve around Stripe – an international suite of APIs that mostly deals with payments online.
The first example is a template that helps with integrating a custom Stripe payment page in Webflow. Since Stripe and Webflow integration requires setup from both the frontend and the backend, Lazy AI can simplify this process by setting up the backend in a record time. The setup itself is fairly simple – it can be activated in just a few clicks directly after directing the backend service to the price ID and adding the API key to the form.
This entire process is made possible by the fact that Lazy AI's template is compatible with any previously established pricing point (via Stripe API). The backend is activated with a single "test" button once everything above is complete, and the Stripe frontend code integration into a Webflow page completes the second part of the process, creating a complete custom payment page.
It should be noted that this particular template can be used for a variety of different payment page types in Webflow, be it subscriptions, one-time payments, etc.
Another example of a Lazy AI template is the Stripe webhook test tool, although this one is a bit less complex than the previous one. The purpose of this particular template is to create a custom app capable of sending and testing mock webhook requests it receives directly from the Stripe API. The results of this test are always presented (printed) using a traditional console.
This particular template sets up a simple server that can listen to different webhooks from Stripe itself, it is a very convenient tool for a very specific use case – to make sure that the Stripe API has been integrated correctly into the system. Lazy AI's template relies on FastAPI to generate a non-complex API endpoint capable of simply logging all of the data received from Stripe's webhooks.
These two examples are just a fraction of what Lazy AI is capable of, bringing simple solutions to well-known tasks and issues with no prior coding skills required whatsoever. It is already a great option for a variety of use cases, and it will keep on growing and expanding in the future, becoming even more useful to different clientele.
