enablement teams need a deeper ramp-up in terms of design thinking methodologies. • So far, we rely on the use of personas to better understand the consumer base of the API. Based on the consumers, we can draw conclusions about their requirements. • In order to be able to look at these inferences in a meaningful way, the idea of the empathy map will be introduced. To further sharpen the results, the What- How-Why methodology will also be used. In the end, all this leads to a customer journey map. • With the help of AI, in particular ChatGPT, all results can be summarised in a mind map for a better overview.
a first draft of an API design, it always seems more important to write down the description directly using a specific definition language. • Instead, it is better to rely on a Domain Specific Language (DSL) that describes the models and a corresponding interface either based on a natural language or through paradigms and concepts of a programming language. • This leads to a corresponding trained large language model being able to fully support this process step.
an API via the chat or as comment in the code • Create a new product OpenAPI definition using problem+json for errors and HAL+json for the data. • Hopefully Copilot is able bring up the right data the right time • In Enterprise context it could be very helpful to create an LLM of existing API definitions
@apihandyman to record the results of a validation as a basis for a possible review in an Excel table. • In order to draw conclusions about how APIs are designed within the organisation. • With regard to the evaluations, an AI could be used to provide a corresponding statement about the quality of the design of an API.
protocol of • General Observations • Endpoint-specific Observations • Recommendations • Having a LLM on your own will be of good value for the organisation as a whole.
a portal or marketplace, among other things, we can make it clear to developers at an early stage which framework is suitable for their respective use case based on the description. • AI also reacts on the basis of data. • Once the framework or technology has been selected, the development process can be supported and driven forward with the help of Github Copilot.
the service, we can use AI in the sense of ChatGPT. • The test cases are created based on the respective definition and can be provided in different formats.
danielkocot
hatefulcrawdad
jcasabona
aemeredith
marcduiker
soysaucechin
sarafernandez
morganepeng
palkan
ks91
konakalab
tenderlove
rasagy
