Building reliable and predictable applications is a core focus for developers. One of the biggest hurdles? Eliminating runtime errors, especially when dealing with dynamic processes like integrating with AI or executing complex business logic. This is where Functions.do shines, and its Software Development Kits (SDKs) are your key to unlocking its power with minimal friction.
Functions.do provides a revolutionary approach to function execution, delivering typesafe results without the inherent complexity of traditional function frameworks. It's designed to give you peace of mind, allowing you to build with confidence using strongly-typed functions that just work.
We've all been there. You deploy your application, and suddenly, unexpected errors pop up. These runtime errors are often difficult to debug and can lead to frustrating downtime for both you and your users. They can stem from various sources, including:
Traditional approaches often require extensive runtime validation and error handling, which adds significant overhead and can still miss subtle issues.
Functions.do addresses these challenges head-on by leveraging compile-time type checking and validation. This means potential errors are caught before your code even runs. How does it achieve this? Through its innovative platform and powerful SDKs.
Think of Functions.do as a smart layer between your application code and the actual execution of your functions. Whether you're interacting with generative AI models or executing complex 'Business-as-Code' logic, Functions.do ensures the data flowing in and out is precisely what you expect.
The Functions.do SDKs are your direct gateway to this typesafe world. They provide a streamlined and intuitive way to define, execute, and interact with your functions. Let's look at the example code provided on the Functions.do website:
This simple TypeScript code snippet demonstrates the power of the Functions.do SDK. When you define a function like leanCanvas, the SDK, in conjunction with the Functions.do platform, understands the expected input structure. This enables:
This level of typesafety is particularly valuable when working with generative AI, where the output structure can sometimes be unpredictable. Functions.do provides a reliable wrapper, ensuring the AI's response is formatted in a way your application can easily consume and process.
While the example highlights AI, Functions.do is not limited to generative AI functions. The platform is designed to handle a wide range of function types, effectively enabling 'Services-as-Software'. You can encapsulate your complex business logic, external API calls, and other operational processes within Functions.do, benefiting from the same typesafety and reliability.
This approach allows you to:
Functions.do, powered by its intuitive and typesafe SDKs, offers a compelling solution for building reliable and predictable applications. By shifting validation to compile-time and providing a consistent API for function execution, it significantly reduces the risk of runtime errors and simplifies integration, whether you're working with generative AI, 'Business-as-Code', or other 'Services-as-Software'.
If you're looking to eliminate runtime chaos and build applications with confidence, exploring the capabilities of Functions.do and its SDKs is a crucial next step. Experience the ease of seamless integration and focus on building features, not debugging unexpected errors.
import { AI } from 'functions.do'
const ai = AI({
leanCanvas: {
productName: 'name of the product or service',
problem: ['top 3 problems the product solves'],
solution: ['top 3 solutions the product offers'],
uniqueValueProposition: 'clear message that states the benefit of your product',
unfairAdvantage: 'something that cannot be easily copied or bought',
customerSegments: ['list of target customer segments'],
keyMetrics: ['list of key numbers that tell you how your business is doing'],
channels: ['path to customers'],
costStructure: ['list of operational costs'],
revenueStreams: ['list of revenue sources'],
recommendations: ['list of recommendations based on the analysis'],
},
})