Using AI to improve software requirements and user stories.
Write Python and use any of the 350k+ PyPi packages available. Refer to the Pipedream Python docs to learn more.
The ScopeMaster API offers a sophisticated platform for automating and enhancing software requirements analysis. It enables the analysis of user stories for quality and size, helping teams get a clear understanding of the scope of their projects. With ScopeMaster, you can streamline requirement gathering, identify potential issues early on, and improve estimation accuracy. Harness this API within Pipedream to create powerful integrations that optimize software development workflows.
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
scopemaster: {
type: "app",
app: "scopemaster",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://api.scopemaster.com/v1/version`,
auth: {
username: `${this.scopemaster.$auth.email}`,
password: `${this.scopemaster.$auth.api_key}`,
},
})
},
})
Develop, run and deploy your Python code in Pipedream workflows. Integrate seamlessly between no-code steps, with connected accounts, or integrate Data Stores and manipulate files within a workflow.
This includes installing PyPI packages, within your code without having to manage a requirements.txt
file or running pip
.
Below is an example of using Python to access data from the trigger of the workflow, and sharing it with subsequent workflow steps:
def handler(pd: "pipedream"):
# Reference data from previous steps
print(pd.steps["trigger"]["context"]["id"])
# Return data for use in future steps
return {"foo": {"test":True}}