What do you want to automate

with Travis CI and Go?

Prompt, edit and deploy AI agents that connect to Travis CI, Go and 2,500+ other apps in seconds.

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

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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
Integrate the Travis CI API with the Go API
Setup the Travis CI API trigger to run a workflow which integrates with the Go API. Pipedream's integration platform allows you to integrate Travis CI and Go remarkably fast. Free for developers.

Overview of Travis CI

The Travis CI API enables developers to automate and enhance their Continuous Integration and Delivery pipeline. With the API, you can manage builds, retrieve build information, cancel jobs, restart builds, and interact with various other Travis CI components programmatically. When you pair this functionality with Pipedream, you can automate reactions to build events, sync data between tools, and trigger workflows in other apps based on Travis CI activity.

Connect Travis CI

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import { axios } from "@pipedream/platform"
export default defineComponent({
  props: {
    travis_ci: {
      type: "app",
      app: "travis_ci",
    }
  },
  async run({steps, $}) {
    return await axios($, {
      url: `https://api.travis-ci.com/user`,
      headers: {
        "Travis-API-Version": `3`,
        "Authorization": `token ${this.travis_ci.$auth.api_key}`,
      },
    })
  },
})

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)
}

Trusted by 1,000,000+ developers from startups to Fortune 500 companies

Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo
Adyen logo
Appcues logo
Bandwidth logo
Checkr logo
ChartMogul logo
Dataminr logo
Gopuff logo
Gorgias logo
LinkedIn logo
Logitech logo
Replicated logo
Rudderstack logo
SAS logo
Scale AI logo
Webflow logo
Warner Bros. logo