Learn how to integrate Bolt.new AI with Amazon S3 in this clear 2025 step-by-step guide to streamline workflows and boost productivity.

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To integrate Bolt.new with Amazon S3, you simply use normal AWS S3 APIs from your Bolt.new server code. Bolt.new does not have any special built‑in “S3 connector” — you interact with S3 the same way any Node.js backend would: install AWS SDK, load credentials from environment variables, then call S3’s REST APIs through the SDK. The only important part is that you must set AWS credentials inside Bolt.new’s environment variables, because Bolt’s runtime does not allow storing secrets directly in source code. Once credentials are present, you can upload, download, list, and delete files in S3 from any Bolt.new server route.
Integrating Bolt.new AI with Amazon S3 means: your Bolt.new server code uses the AWS SDK for JavaScript to talk to S3 over HTTPS. Bolt.new itself doesn’t “connect” to S3 — your app connects to S3 using standard AWS credentials.
You only need:
This is the clean, real-world flow a senior engineer uses.
npm install @aws-sdk/client-s3
This is actual, real, production-valid Node.js code using AWS SDK v3.
// server/s3.js
import { S3Client, PutObjectCommand } from "@aws-sdk/client-s3";
import fs from "fs";
// Configure the AWS S3 client using environment variables
const s3 = new S3Client({
region: process.env.AWS_REGION, // e.g. "us-east-1"
credentials: {
accessKeyId: process.env.AWS_ACCESS_KEY_ID, // stored in Bolt.new env
secretAccessKey: process.env.AWS_SECRET_ACCESS_KEY
}
});
// Example function to upload a file to S3
export async function uploadFileToS3(localFilePath, targetKey) {
const fileStream = fs.createReadStream(localFilePath); // read local file
const command = new PutObjectCommand({
Bucket: process.env.S3_BUCKET_NAME, // bucket name from env vars
Key: targetKey, // path in S3
Body: fileStream
});
await s3.send(command);
return `Uploaded to s3://${process.env.S3_BUCKET_NAME}/${targetKey}`;
}
// server/routes/upload.js
import express from "express";
import { uploadFileToS3 } from "../s3.js";
import path from "path";
const router = express.Router();
router.get("/demo-upload", async (req, res) => {
try {
const localFile = path.join(process.cwd(), "example.txt"); // some demo file
const result = await uploadFileToS3(localFile, "uploads/example.txt");
res.json({ success: true, message: result });
} catch (err) {
res.status(500).json({ success: false, error: err.message });
}
});
export default router;
Bolt.new runs your Node.js backend exactly like a normal Express server. When your route calls uploadFileToS3(), it performs a normal HTTPS request to AWS S3 using the AWS SDK. Nothing magical — just proper API calls with credentials stored safely in environment variables.
Integrating Bolt.new AI with Amazon S3 is exactly the same as integrating any Node.js backend: store AWS credentials in Bolt environment variables, install the AWS SDK, instantiate an S3 client in code, and call its methods (upload, download, list, delete). Bolt.new doesn’t magically connect to S3 — your server code does. With the examples above, you have a fully working S3 integration you can scaffold, test, and deploy.
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