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.

Run Go Code with the Go API

Run any Go code and use any Go package available with a simple import. Refer to the Pipedream Go docs to learn more.

 
Try it

Overview of BugHerd

With the BugHerd API, you can build a variety of applications and integrations
to help streamline your workflow. Here are some examples of what you can build:

  • A tool to automatically generate bug reports based on user feedback
  • A plugin to integrate BugHerd with your existing bug tracking system
  • A custom dashboard to track your team's progress on fixing bugs
  • A script to automatically assign tasks to team members based on their skills
    and availability

Connect BugHerd

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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

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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)
}