BugHerd
BugHerd is a visual feedback tool. With the help of the BugHerd browser extension, you can collect website feedback and track bugs directly on a page. It’s like using sticky-notes on a website!
Integrate the BugHerd API with the Go API
Setup the BugHerd API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate BugHerd and Go remarkably fast. Free for developers.
Popular BugHerd and Go Actions#
Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.
Overview of BugHerd#
The BugHerd API provides a streamlined interface for managing and tracking bugs and issues directly within your web projects. By leveraging this API on Pipedream, you can automate the bug tracking process, sync data with project management tools, and create custom notifications based on event triggers. Automations can range from simple task creation to complex workflows involving multiple systems, cutting down the manual effort required to keep your development projects bug-free.
Connect BugHerd#
import { axios } from "@pipedream/platform"
export default defineComponent({
props: {
bugherd: {
type: "app",
app: "bugherd",
}
},
async run({steps, $}) {
return await axios($, {
url: `https://www.bugherd.com/api_v2/organization.json`,
auth: {
username: `${this.bugherd.$auth.api_key}`,
password: `x`,
},
})
},
})
Overview of Go#
You can execute custom Go scripts on-demand or in response to various triggers and integrate with thousands of apps supported by Pipedream. Writing with Go on Pipedream enables backend operations like data processing, automation, or invoking other APIs, all within the Pipedream ecosystem. By leveraging Go's performance and efficiency, you can design powerful and fast workflows to streamline complex tasks.
Connect Go#
package main
import (
"fmt"
pd "github.com/PipedreamHQ/pipedream-go"
)
func main() {
// Access previous step data using pd.Steps
fmt.Println(pd.Steps)
// Export data using pd.Export
data := make(map[string]interface{})
data["name"] = "Luke"
pd.Export("data", data)
}