Training course · Lovable · PHP & Laravel/Symfony

Lovable for PHP 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

This course connects Lovable with the everyday processes of PHP & Laravel/Symfony. Participants work on realistic scenarios and leave with prompts, workflows and checklists they can use straight away.

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.

PHP powers a large share of the web – from Laravel and Symfony applications to Shopware and Magento stores and bespoke platforms that have evolved over many years. As a result, modern framework projects frequently sit alongside legacy code without types, tests or Composer structure. AI coding assistants and agents help on both fronts: they write PHPUnit and Pest tests, bring code up to modern language standards with Rector, work through PHPStan findings level by level, generate Eloquent or Doctrine models with migrations and explain tangled legacy logic. The prerequisite is good context on framework conventions, coding standards and the test environment. This course teaches you to use agents so that modernisation becomes predictable and safe.

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?

  • PHP developers working with Laravel or Symfony
  • Developers of e-commerce systems such as Shopware or Magento
  • Agency teams juggling many client projects in parallel
  • Teams modernising legacy PHP applications

Typical challenges we address

  • Legacy code without type declarations, namespaces or automated tests
  • Laborious upgrades of PHP versions and major framework releases
  • Security risks from SQL injection, XSS and unsafe file uploads in old code
  • Tight deadlines on agency projects combined with high quality expectations

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 for tests, static analysis and upgrades in Laravel, Symfony and legacy projects.
  • Modernise legacy code incrementally and safely with AI support.
  • Recognise typical security flaws in generated and existing PHP code and fix them in a targeted way.

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: PHP & Laravel/Symfony
  • Generating PHPUnit and Pest tests
  • Raising PHPStan levels step by step
  • Upgrades with Rector
  • Building Laravel and Symfony features
  • Understanding and untangling legacy code
  • Finding security vulnerabilities
Module 7 Data protection, quality & transfer to daily work
  • PHP applications frequently process customer data from shops and portals, so database dumps and logs containing personal data must never go into prompts unfiltered. Check new Composer packages for licence and vulnerabilities, keep credentials from .env files out of context and, as an agency, agree contractually whether client code may be processed by AI services.
  • 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

Generating PHPUnit and Pest tests

The agent writes unit and feature tests for controllers, services and models, uses factories and database transactions, and runs the tests iteratively until they pass consistently.

Raising PHPStan levels step by step

The AI works through static analysis findings systematically, adds type declarations, generics annotations and return types, and raises the analysis level in controlled steps without changing behaviour.

Upgrades with Rector

Rector rules are configured and run, remaining incompatibilities in PHP or framework upgrades are fixed by hand and deprecations surfaced in logs and tests are cleared systematically.

Building Laravel and Symfony features

From a functional description, the assistant creates migrations, Eloquent or Doctrine entities, form requests or validators, controllers, policies and tests – all in line with framework conventions.

Understanding and untangling legacy code

The assistant explains procedural legacy logic, extracts functions into namespaced classes and introduces Composer autoloading, laying the groundwork for further modernisation. Characterisation tests pin down the existing behaviour first.

Finding security vulnerabilities

The AI checks code for unsafe SQL queries, missing output escaping, CSRF gaps and insecure uploads, replacing problem areas with prepared statements and built-in framework mechanisms.

Possible hands-on projects

Laravel admin panel

A small management back end with authentication, roles, CRUD screens and feature tests, built by an AI agent from a short specification.

Symfony console importer

A Symfony console command that validates CSV or XML data, imports it into Doctrine entities and logs errors in a clear, readable way.

Upgrade readiness check

A script that runs PHPStan, a Rector dry run and Composer audit against a PHP project and produces a plain-language report on upgrade effort.

Prerequisites

Basic web development knowledge (HTML, CSS, JavaScript) and some experience with Git are helpful. Prior React or Supabase experience is not required. Solid PHP skills and experience with Laravel or Symfony, Composer 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

PHP applications frequently process customer data from shops and portals, so database dumps and logs containing personal data must never go into prompts unfiltered. Check new Composer packages for licence and vulnerabilities, keep credentials from .env files out of context and, as an agency, agree contractually whether client code may be processed by AI services.

Suggested dates

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

  • Fri, 27 November 2026 Online Request
  • Wed, 2 December 2026 Munich Request
  • Tue, 8 December 2026 Online Request
  • Tue, 15 December 2026 Stuttgart Request
  • Fri, 8 January 2027 Hanover Request
  • Fri, 22 January 2027 Online 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.

Is AI-assisted coding worthwhile for old PHP code without a framework?

That is exactly where it shines. AI assistants explain convoluted procedural logic, write characterisation tests that pin down existing behaviour and then introduce namespaces, autoloading and types step by step. This gives you a safe foundation for modernising legacy applications instead of attempting a risky full rewrite.

How should agencies handle client code and AI?

Agencies should agree with their clients contractually whether, and with which services, source code may be processed. On the course we discuss options such as business licences with no training on your data, exclusion rules for sensitive files and documented review processes that give your clients full transparency.

How much does “Lovable for PHP 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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