Everything AI? What API folks need to know now

So much hype around AI - but what does it mean for us API practitioners?

So much hype around AI - social media is full of AI startups, prompt suggestions, and LLMs. For a good reason, the technology is close to magical!

The underlying technology is not really new (I remember experimenting with the GPT3 API in late 2020), it was ChatGPT that has inspired the world. It has attracted 100 million users in 2 months, which makes it the fastest-growing technology ever.

And now everyone asks: what does the AI trend mean for me, my company, my job, and my products? Maybe your boss has already approached you to suggest: “Let’s add this AI thing to our product.“

And in this publication, we will discuss: What does the AI trend mean for us API practitioners? More specifically …

Will APIs become obsolete … or even more important than ever before? What is the relationship between AI and APIs? What are the patterns for building AI-powered applications - and what is the role of APIs? How can we use AI to build better APIs and how can we use APIs to build a more powerful AI? Do we need to change how we build APIs? Will the AI use and discover our APIs? Should we design APIs for the AI as a consumer? Are agents the answer (Langchain etc.) or plugins for ChatGPT?

This is a new publication where we will explore these and many more questions at the interface between AI and APIs.

In the next post, I will talk about the basic architectural patterns that make use of the relationship between AI and API.

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