Training course · Lovable · JavaScript & TypeScript

Lovable for JavaScript and TypeScript Developers

Build web apps from prompts: take Lovable from idea to a working React app with Supabase backend, GitHub sync and deployment.

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

“Lovable for JavaScript and TypeScript Developers” is a hands-on course for roles such as Front-end and full-stack developers working in JavaScript or TypeScript, Teams migrating an existing JavaScript codebase to TypeScript and Library and SDK maintainers in the npm ecosystem. Rather than learning Lovable in the abstract, you work on tasks from your daily routine – with examples, exercises and templates from JavaScript & TypeScript.

Lovable turns plain-language descriptions into complete web applications built on React, TypeScript, Tailwind CSS and Vite. In this one-day course you learn how to phrase requirements so that Lovable produces clean, maintainable code, how to connect a database, authentication and storage through the Supabase integration, and how to steer changes iteratively instead of starting over every time something breaks. The focus is on real workflows: from the first prompt through data model and permission design to a published application running on your own domain.

For developers, Lovable becomes genuinely useful when the generated code does not stay locked inside the tool. You therefore work extensively with the two-way GitHub sync, review the generated code in your own editor, add tests and move the project into your existing toolchain where needed. You also get a clear view of the limits: Row Level Security, Edge Functions, secrets handling, performance and the maintainability of larger codebases. That lets you judge when Lovable is the fastest route and when conventional development or an agentic coding tool is the better fit.

JavaScript and TypeScript now run in the browser, on servers, in build pipelines and on edge platforms. That breadth comes with complex toolchains: bundlers, transpilers, linters, package managers and an npm ecosystem that never stands still. AI coding assistants and agents remove a great deal of that friction. They migrate JavaScript modules to TypeScript incrementally, derive precise types from API responses, fix ESLint findings, write Vitest or Jest tests and explain nested generics in plain language. For the output to fit your project, the tools need clear guardrails: tsconfig strictness, module system, coding guidelines and test commands. This course shows you how to provide that context deliberately and how to scrutinise generated code.

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?

  • Front-end and full-stack developers working in JavaScript or TypeScript
  • Teams migrating an existing JavaScript codebase to TypeScript
  • Library and SDK maintainers in the npm ecosystem
  • Tech leads who own tooling, linting and build processes

Typical challenges we address

  • Gradual type erosion through any, type assertions and lax tsconfig settings
  • Complex toolchains mixing bundlers, transpilers, ESM and CommonJS that are hard to debug
  • Huge dependency trees carrying security and maintenance risk
  • Asynchronous code with hard-to-reproduce race conditions and gaps in error handling

What you will be able to do

  • You write prompts that lead Lovable to produce well-structured, maintainable React applications.
  • You connect Supabase for database, authentication and storage and verify Row Level Security.
  • You iterate on the design deliberately without breaking parts of the app that already work.
  • You sync projects with GitHub and continue development in your usual coding environment.
  • Use AI agents deliberately for TypeScript migrations, typing work and test generation.
  • Feed assistants your tsconfig, lint rules and project conventions so generated code fits your existing stack.
  • Critically assess proposed npm dependencies and generated code for type safety and security.

Course outline

Module 1 Fundamentals and prompting strategy
  • How Lovable works: the generated stack of React, TypeScript, Tailwind CSS and shadcn/ui
  • Describing requirements in a structured way: audience, pages, data objects, roles
  • Chat mode versus direct edits: when to plan and when to build
  • Using the knowledge base and project instructions for consistent output
Module 2 Backend with Supabase
  • Connecting a Supabase project and deriving tables from your prompt
  • Setting up authentication with email, magic links and OAuth providers
  • Understanding, reviewing and tightening Row Level Security policies
  • Using Edge Functions, storage buckets and secrets for external APIs
Module 3 Design iteration and UI quality
  • Visual editing of individual elements and targeted layout prompts
  • Working from screenshots and Figma designs
  • Ensuring responsive behaviour, accessibility and design-system consistency
  • Debugging with console output and reverting to earlier versions
Module 4 GitHub sync and a professional workflow
  • Setting up two-way synchronisation with a GitHub repository
  • Continuing work locally in VS Code, Cursor or Claude Code
  • Introducing branches, code review and tests for generated code
  • Keeping dependencies, environment variables and project structure tidy
Module 5 Deployment, operations and limits
  • Publishing with Lovable hosting and a custom domain
  • Alternative deployments via Vercel, Netlify or your own infrastructure
  • Realistically assessing credit usage, project size and common dead ends
  • Security and data-protection review before go-live, including GDPR questions
Module 6 Practice lab: JavaScript & TypeScript
  • Incremental TypeScript migration
  • Deriving types from APIs and schemas
  • Writing Vitest and Jest tests
  • Fixing ESLint findings and code smells
  • Debugging build and bundler issues
  • Upgrading dependencies
Module 7 Data protection, quality & transfer to daily work
  • The npm ecosystem is a frequent target of supply-chain attacks, so vet every dependency the AI suggests for provenance, maintenance and licence (for example copyleft terms). Keep API keys and tokens out of prompts and clarify contractually whether your source code may be used to train the provider’s models.
  • 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

Incremental TypeScript migration

The agent converts JavaScript files to TypeScript module by module, infers types from usage, replaces any with precise types and tightens tsconfig strictness in controlled steps until the compiler runs clean.

Deriving types from APIs and schemas

JSON samples, OpenAPI specifications or database schemas are turned into TypeScript interfaces and Zod schemas for runtime validation, so front end and back end share one consistent contract.

Writing Vitest and Jest tests

For utilities, hooks and services, the AI generates unit tests with sensible mocks, fake timers and snapshot strategies, runs them and fixes failing cases on its own.

Fixing ESLint findings and code smells

The assistant works through lint warnings systematically, replaces outdated patterns such as callback chains with async/await and explains for each rule why the change makes sense.

Debugging build and bundler issues

Error output from Vite, webpack or esbuild is analysed, ESM/CommonJS conflicts are resolved and configuration for path aliases, tree shaking or source maps is corrected.

Upgrading dependencies

The AI reads changelogs for major npm package upgrades, adapts code to breaking changes, updates lockfiles and verifies everything through a type check and a full test run.

Possible hands-on projects

Type-safe API client

A small TypeScript package that generates a type-safe fetch client with Zod validation from an OpenAPI specification, ready to publish to npm with tests.

Browser extension

A TypeScript browser extension that analyses page content and copies it to the clipboard in a structured format – including manifest, content script and automated build.

Monorepo health check

A Node script that inspects workspaces in a monorepo, detects duplicate or inconsistent dependency versions and proposes a clean-up plan.

Prerequisites

Basic web development knowledge (HTML, CSS, JavaScript) and some experience with Git are helpful. Prior React or Supabase experience is not required. Good command of modern JavaScript, a working knowledge of TypeScript and experience with npm, pnpm or yarn and Git.

Technical requirements

A laptop with an up-to-date browser, a Lovable account (a paid plan is recommended for intensive use) and free GitHub and Supabase accounts.

Data protection & compliance

The npm ecosystem is a frequent target of supply-chain attacks, so vet every dependency the AI suggests for provenance, maintenance and licence (for example copyleft terms). Keep API keys and tokens out of prompts and clarify contractually whether your source code may be used to train the provider’s models.

Suggested dates

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

  • Wed, 25 November 2026 Online Request
  • Thu, 3 December 2026 Munich Request
  • Wed, 9 December 2026 Online Request
  • Fri, 18 December 2026 Stuttgart Request
  • Mon, 18 January 2027 Online Request
  • Wed, 3 February 2027 Berlin Request

Frequently asked questions

Do I own the code Lovable generates?

Yes. The output is standard React and TypeScript code that you can push to your own repository via the GitHub sync. From there it can be developed, tested and deployed entirely independently of Lovable. In the course we show you how to set this up properly from day one so you avoid any lock-in.

Is Lovable suitable for production applications?

For prototypes, MVPs, internal tools and modest customer-facing apps, yes, provided you review security and the data model carefully. Supabase Row Level Security, secrets handling and the maintainability of a growing codebase all need attention. The course covers exactly which checks make sense before you go live.

How does Lovable differ from Cursor or Claude Code?

Lovable is a browser-based app builder with a fixed stack, built-in hosting and Supabase integration, which makes it ideal for getting started quickly. Cursor and Claude Code work inside any existing codebase and technology. Many teams combine them: start in Lovable, then continue in the editor via GitHub.

How well do AI assistants handle complex TypeScript types?

Current models understand generics, conditional types and mapped types very well and can explain them clearly. For highly complex type constructions, though, the compiler remains the ultimate judge. On the course you learn to have the agent run tsc iteratively, so suggestions are not merely plausible but genuinely type-correct before you accept them.

Is the course suitable for pure front-end developers?

Yes. The focus is the language and its tooling – typing, tests, linting, builds and dependencies – which matter equally on the front end and the back end. If you want to go deeper into React or Node.js specifically, our catalogue includes dedicated course variants for those stacks.

How much does “Lovable for JavaScript and TypeScript 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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