Training course · Bolt · Node.js Back End

Bolt for Node.js Back-End Developers

Full-stack prototypes right in the browser: generate web apps from prompts with Bolt, run them in WebContainers and deploy them.

Duration
1 day (7 hrs)
Format
Online or on-site
Language
German or English
Participants
open dates or exclusive for your team
Certificate
Certificate of attendance

Overview

“Bolt for Node.js Back-End Developers” is designed for roles such as Back-end developers using Express, Fastify or NestJS, Full-stack developers responsible for API layers and Developers building serverless functions and integration services and shows step by step how to use Bolt productively, safely and transparently in Node.js Back End – from the fundamentals to advanced workflows.

Bolt by StackBlitz generates working full-stack applications from prompts and runs them straight away in the browser. WebContainers make this possible: a Node.js runtime runs entirely inside the browser tab, complete with package installation, dev server and terminal. In this one-day course you learn how to build prototypes quickly with React, Vue, Svelte, Next.js, Astro or Node.js backends, how to structure prompts and project instructions, and how to steer the agent precisely rather than letting it rewrite large parts of your app unchecked.

The course combines fast results with sound engineering practice. You read and edit the generated code in the built-in editor, fix errors using the terminal and console, connect databases and authentication, and export projects to GitHub or as an archive. You then publish your application and learn how to keep token consumption, context size and project scope under control. By the end you know exactly which projects Bolt gets to a clickable result fastest, and at what point moving to a local development environment makes sense.

For many teams, Node.js is the backbone of REST and GraphQL APIs, real-time services, serverless functions and integration layers. Typical back-end work follows recurring patterns: routes and validation, database access with Prisma, Drizzle or TypeORM, authentication, error handling, logging and tests against real dependencies. AI coding assistants and agents handle these patterns reliably once they understand the project architecture. They generate endpoints from OpenAPI specifications, migrate Express applications to modular structures, write integration tests with Testcontainers and analyse memory leaks or event-loop-blocking operations. This course teaches you to use agents in a way that keeps security, observability and maintainability firmly intact.

The course is delivered live – either online in a virtual classroom or on-site in our training rooms in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart and Kaiserslautern. We can also run it exclusively for your team.

Who is this course for?

  • Back-end developers using Express, Fastify or NestJS
  • Full-stack developers responsible for API layers
  • Developers building serverless functions and integration services
  • Software architects designing Node.js-based microservices

Typical challenges we address

  • Organically grown Express apps with no clear layering and scattered error handling
  • Insufficient input validation and weaknesses in authentication and authorisation
  • Performance issues caused by blocking code or memory leaks that are hard to diagnose
  • Missing integration tests against databases, queues and external APIs

What you will be able to do

  • You can explain how WebContainers work and judge which projects run well in Bolt.
  • You generate a full-stack prototype with frontend, backend and database using structured prompts.
  • You debug issues efficiently via terminal, console and precise feedback to the agent.
  • You publish your application and export the code to GitHub for further development.
  • Have AI agents build endpoints, data layers and integration tests that fit your Node.js architecture.
  • Use AI to analyse performance problems, memory leaks and security weaknesses in the back end.
  • Define guardrails so that generated back-end code meets your standards for validation, logging and error handling.

Course outline

Module 1 Understanding Bolt and WebContainers
  • Architecture: Node.js, npm and dev server running entirely in the browser
  • Supported frameworks and starter templates at a glance
  • Capabilities and limits of the browser runtime, for instance with native binary packages
  • Using editor, preview, terminal and file tree efficiently
Module 2 Prompting and project control
  • Writing a precise first prompt: stack, pages, data model, style
  • Project and system instructions for recurring conventions
  • Discussion mode for planning, build mode for implementing
  • Iterating in small steps, locking files and rolling back versions
Module 3 Full stack: data, auth and APIs
  • Database and authentication via the built-in backend integration or Supabase
  • Building API routes and server-side logic with Node.js
  • Connecting external APIs and managing keys through environment variables
  • Creating mobile prototypes with Expo and testing them on a device
Module 4 Debugging and code quality
  • Feeding terminal and browser console errors back to the agent effectively
  • Reading, understanding and manually correcting generated code
  • Keeping structure, component boundaries and TypeScript types clean
  • Managing token usage and context size as projects grow
Module 5 Deployment and handover
  • Publishing your app in one click and connecting a custom domain
  • Exporting to GitHub and continuing locally in VS Code, Cursor or Claude Code
  • Security review: secrets, access rights, input validation
  • Decision criteria: evolve the prototype or rebuild it properly
Module 6 Practice lab: Node.js Back End
  • API endpoints from specifications
  • Database access and migrations
  • Integration tests with Testcontainers
  • Restructuring Express applications
  • Analysing performance and memory leaks
  • Security hardening
Module 7 Data protection, quality & transfer to daily work
  • Back ends often process personal data: production data, logs and database dumps should never go into prompts unfiltered, and credentials from environment variables must stay excluded. Vet new npm dependencies for supply-chain risk and licensing, and for critical services take the security requirements of NIS2 into account.
  • Ground rules for safe AI use in your team
  • Checking results: facts, sources, tests and the four-eyes principle
  • Personal action plan for the next 30 days
  • Open questions, outlook and resources for further learning

Practical scenarios from your field

API endpoints from specifications

From an OpenAPI or GraphQL schema, the agent generates routes or resolvers, validation with Zod or class-validator, service layers and consistent error responses – all matching your existing project structure.

Database access and migrations

The AI models schemas for Prisma, Drizzle or TypeORM, writes migrations, optimises queries with indexes and transactions and explains the impact on existing data before rollout.

Integration tests with Testcontainers

The assistant writes tests that spin up real databases, Redis or message brokers in containers, seed data and exercise API endpoints end to end with Supertest against realistic dependencies.

Restructuring Express applications

Monolithic Express projects are split into modules with controllers, services and repositories, middleware is standardised and callback code moved to async/await – backed by existing and new tests.

Analysing performance and memory leaks

The AI interprets heap snapshots, profiler output and logs, identifies operations blocking the event loop and proposes fixes such as streams, worker threads or caching.

Security hardening

The agent reviews authentication flows using JWTs or sessions, adds rate limiting, secure HTTP headers and input validation and checks the code against the OWASP API security risks.

Possible hands-on projects

Webhook relay service

A Fastify service that receives webhooks from various SaaS providers, verifies signatures, queues events and forwards them to internal systems with retry logic.

Job queue with dashboard

A background-processing service built on BullMQ and Redis, with retry strategies, a monitoring UI and integration tests. Failed jobs can be inspected and retried directly from the UI.

API gateway prototype

A lean gateway service with authentication, rate limiting, request logging and routing to several back-end services, developed entirely by an AI agent.

Prerequisites

Basic JavaScript or TypeScript skills and an understanding of common web concepts such as components, APIs and databases. Technically minded business users can follow along well too. Back-end development experience with Node.js and JavaScript or TypeScript, plus a working knowledge of databases, HTTP and Git.

Technical requirements

A laptop with an up-to-date Chromium-based browser or Firefox, a Bolt account (a paid plan for intensive use) and a free GitHub account.

Data protection & compliance

Back ends often process personal data: production data, logs and database dumps should never go into prompts unfiltered, and credentials from environment variables must stay excluded. Vet new npm dependencies for supply-chain risk and licensing, and for critical services take the security requirements of NIS2 into account.

Suggested dates

All dates are suggestions – your preferred date is always possible.

  • Thu, 26 November 2026 Online Request
  • Thu, 10 December 2026 Salzburg Request
  • Wed, 16 December 2026 Online Request
  • Mon, 11 January 2027 Online Request
  • Mon, 25 January 2027 Bremen Request
  • Thu, 11 February 2027 Online Request

Frequently asked questions

Do I need a local development environment for Bolt?

No. Thanks to WebContainers, package installation, dev server and terminal all run in the browser, so nothing needs to be installed locally. Only when you want to develop a project long term or integrate it into an existing toolchain does exporting to GitHub and working in a local editor pay off. We practise both in the course.

How is Bolt different from Lovable?

Both generate web apps from prompts. Bolt offers more freedom in choosing a framework and exposes code, terminal and file tree very directly, which suits developers who want to stay close to the code. Lovable relies on a fixed React stack with a stronger focus on design iteration and Supabase. The right choice depends on project and team.

Can I build mobile apps with Bolt?

Yes. Through the Expo integration you can generate React Native prototypes and test them on your phone with Expo Go. This works well for simple apps and clickable prototypes. Native device features, app store publishing and complex offline logic usually call for local development, and the course explains where that boundary lies.

Is the course suitable for both NestJS and Express?

Yes. We work with framework-neutral principles such as layering, validation and testability, and show with examples how to capture the conventions of Express, Fastify or NestJS in instruction files. That way the assistant generates code that fits your framework and your project structure rather than generic boilerplate.

How do I stop the AI from producing insecure back-end code?

Through clear rules, automated checks and critical review. On the course you define security rules for validation, authentication and data access, plug in static analysis and dependency scanning, and learn to spot typical weaknesses in generated code, such as missing authorisation checks or unsafe queries.

How much does “Bolt for Node.js Back-End Developers” cost?

The course costs a flat €949 plus VAT per participant – whether online or on-site. This includes 1 training day(s) with a live trainer, course materials, a lab environment and a certificate of attendance.

Can I suggest my own date?

Yes. Our suggested dates are just a guide. In the request form you can always describe your preferred date or period in free text – we check availability and confirm within one working day.

Is the course online or on-site?

Both are possible: live online in a virtual classroom or on-site in Munich, Salzburg, Berlin, Augsburg, Hanover, Bremen, Stuttgart or Kaiserslautern. We can also run the course exclusively for your team.

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