Bolt.new AI and Jenkins integration: Step-by-Step Guide 2025

To integrate Bolt.new AI with Jenkins, you don’t connect them directly as “built‑in tools.” Instead, you let Bolt.new generate, scaffold, or automate code/scripts/configs that Jenkins will run, and you expose Jenkins to Bolt.new through standard APIs or webhooks. The real link is: Bolt.new produces the logic, Jenkins executes it; or Jenkins triggers Bolt.new-generated endpoints in your app. Integration happens through plain, real-world mechanisms: Jenkins REST API, Git webhooks, environment variables, and build scripts.

 

What “Bolt.new → Jenkins integration” REALLY means

 

You use Bolt.new as a workspace to write the code or API layer that Jenkins can call. Jenkins itself doesn't know about Bolt; it only knows how to:

• Run shell scripts
• Call REST APIs
• Trigger builds from Git pushes
• Use environment variables for secrets

So the correct approach is to integrate via Jenkins REST API and Jenkins build triggers. Bolt helps you scaffold the API endpoints or generate Jenkinsfile config that Jenkins will run.

 

Two valid ways to integrate

 

Approach A: Jenkins triggers something you built in Bolt.new

• You use Bolt.new to build a small API server (Node/Next/Express/etc)
• Jenkins calls that server during a build
• Auth is done via Jenkins' credentials store

Approach B: Your Bolt.new app triggers Jenkins builds

• You use the Jenkins REST API from your Bolt.new app
• You authenticate with an API token + user
• You trigger a Jenkins job programmatically

These are the only two real-world, reliable ways.

 

Approach B — Trigger Jenkins builds from a Bolt.new-generated app (most common)

 

You put your Jenkins API token in an environment variable (e.g., JENKINS_API_TOKEN). Bolt.new supports environment variables through the sidebar "Environment" panel.

Here’s a real, correct Node.js example you can scaffold inside Bolt.new:

 

// Example Express route to trigger a Jenkins job

import express from "express";
import fetch from "node-fetch"; // if you're in Bolt.new, you can install via package.json

const router = express.Router();

router.post("/trigger-build", async (req, res) => {
  const jobName = "my-job"; // The Jenkins job you want to run

  const jenkinsUser = process.env.JENKINS_USER;  // store securely
  const apiToken = process.env.JENKINS_API_TOKEN;
  const jenkinsUrl = process.env.JENKINS_URL;    // e.g. https://jenkins.example.com

  const triggerUrl = `${jenkinsUrl}/job/${jobName}/build`;

  const response = await fetch(triggerUrl, {
    method: "POST",
    headers: {
      Authorization:
        "Basic " + Buffer.from(`${jenkinsUser}:${apiToken}`).toString("base64"),
    },
  });

  if (response.status === 201) {
    return res.json({ ok: true, message: "Jenkins build triggered" });
  }

  return res.status(500).json({ ok: false, message: "Failed to trigger build" });
});

export default router;

 

This is a fully valid integration because Jenkins has an official REST endpoint that accepts POST requests to trigger jobs.

 

Approach A — Jenkins calls your Bolt.new-generated endpoint

 

Your Jenkinsfile might call the endpoint built in Bolt.new:

 

// Jenkinsfile snippet: call Bolt.new app during pipeline

pipeline {
  agent any
  stages {
    stage('Notify Bolt API') {
      steps {
        sh '''
          curl -X POST https://your-bolt-app-url.example.com/pipeline-start \
            -H "Authorization: Bearer $BOLT_API_KEY"
        '''
      }
    }
  }
}

 

This is also valid because Jenkins supports shell commands and environment variables.

 

How to store secrets correctly

 

• In Bolt.new: use the Environment panel (never hardcode tokens)
• In Jenkins: use Credentials → then expose as env vars in your pipeline

This keeps both sides secure and production-ready.

 

Recommended workflow

 

• Prototype the integration in Bolt.new
• Add actual Jenkins credentials once deploying outside Bolt
• Use the Jenkins REST API for triggering, and curl or fetch
• Use environment variables on both sides

This keeps things simple, standard, and robust — no proprietary connectors, just real-world DevOps patterns.