Plan before you prompt
Before using Lovable, define what you're building.
Before using Lovable, define what you're building.
Design isn't about individual screens, it's about what happens between them.
Your visual language is a foundation, not a polish layer.
Fill this in before your first prompt so the agent knows what you are building and what you are not.
Lovable works best when you build your UI in modular parts, not full pages at once.
Lovable does not work well with placeholder content like lorem ipsum or "feature 1 / feature 2".
Lovable thinks in atoms.
It's not enough to describe layout, you need to guide the tool on vibe.
Every prompt modifies a living codebase.
Prompts are easier to write and far more effective when you use structured, repeatable patterns.
Attach images to any prompt: screenshots of bugs, reference designs, napkin sketches.
Drop in product demos, generated clips or tutorial videos using URLs.
Visual Edit mode lets you make design changes by clicking directly on elements in the preview.
The rhythm of good building is prompt, review, prompt, review.
If you want your projects to do more than look good, think about how they'll actually work.
As your project grows, periodically ask Lovable to clean things up.
Autosave doesn't mean auto-organised.
The instinct when something breaks is to immediately send another prompt.
If you're not a developer, your guess about what broke is probably wrong — and a wrong guess sends the agent digging in the wrong file.
Never paraphrase an error.
Use the automatic fix attempt once.
Narrow down where the problem actually lives before asking for a fix.
Restoring to the last working version is almost always cheaper than six fix prompts.
The same mistakes repeat.
Match the symptom you are seeing to the right first move before you prompt again.
April Dunford's method for positioning — the highest-leverage marketing work.
How to talk to customers so they tell you the truth instead of being nice.
Still the best book on the habits that separate working code from good code.
The full lifecycle of a bootstrapped business, from idea to acquisition.
Where technical launches get judged honestly. Also a great validation signal.
Revenue-transparent founder stories and a community that answers questions.
Launch platform and a daily read on what people are actually building.
Deep workshop-style courses taught by people who build the tools.
The clearest free explanation of how large language models actually work.
Official templates, starter packs and structured lessons for building with Lovable.
Official channel with build-alongs, feature demos and workshop recordings.
Bootstrapped SaaS talks on pricing, churn, positioning and staying small.
Free, project-based full-stack curriculum that actually finishes what it starts.
Puzzle your way to real TypeScript fluency, from beginner to genuinely hard.
Free structured course covering idea, MVP, users, growth and fundraising.
Data-backed SEO tutorials — keyword research, backlinks, content strategy.
Hamel Husain's field notes on evaluating LLM features instead of guessing.
Practical, model-maker guidance on structure, examples and chain-of-thought prompts.
CI/CD, scheduled jobs and release automation in YAML next to your code.
The primary source for technical SEO: crawling, indexing and structured data.
Official docs covering prompting, integrations, deployment and troubleshooting.
Step-by-step walkthroughs for common build patterns and integrations.
The reference for HTML, CSS, JavaScript and browser APIs. Always correct.
The open standard for wiring tools, data and agents together. Spec plus SDKs.
Runnable recipes for embeddings, function calling, RAG and evaluation.
The ten failure modes that break most apps. Read before you ship auth.
The canon. Start with 'Do Things That Don't Scale' and 'How to Get Startup Ideas'.
Open, well-maintained reference on prompting techniques with worked examples.
The rewritten React docs — hooks, effects and mental models explained properly.
Design patterns and refactorings with clear diagrams and code in many languages.
Opinionated learning paths for front-end, back-end, DevOps and AI roles.
Clear write-ups on incorporation, pricing, taxes and running an internet business.
Scalability concepts, trade-offs and interview-grade examples, all open source.
Official guide to types, generics and the compiler options that matter.
Google's guidance on performance, Core Web Vitals and modern web capabilities.
Thousands of essays and talks on starting, funding and growing companies.
Long-form operational advice on hiring, leadership and early company building.
Product, growth and go-to-market playbooks from operators who ran them.
Ben Thompson on tech strategy and business models — sharpens your positioning.
Ready-made templates for the first things a founder needs: CRM, landing page, proposal generator.
Copy-paste React components you own outright, built on Radix and Tailwind.
If your app stores data, sends email or has users, it needs a backend. Plan it while you design so the frontend does not lie about what is possible.
Supabase gives you auth, tables and storage in one place. The part most builders miss is Row Level Security: decide who can read and write before you ship.
Your app does not have to build everything. Connect to existing services over HTTP, and use webhooks to react to events that happen somewhere else.
A custom domain is trust. Set it up early, test redirects, and keep DNS simple so publishing stays boring instead of stressful.
Titles, descriptions and preview images tell search engines and social platforms what your page is about. Set them per route and test the preview.
Track the actions that matter without drowning in data. Pick a few events, keep them privacy-friendly, and use them to decide what to build next.
Email is still the most reliable channel for onboarding and re-engagement. Separate transactional messages from marketing sequences and automate both.
Add conversational interfaces when a form would be too rigid. Keep context small, set expectations, and always give the user an escape hatch.
Fast, responsive UI comes from the prompt. Ask for lazy loading, sensible breakpoints, and components that stay usable on every screen size.
Modern AI app builders analyse your files, run real calculations and generate reports, decks and invoices you can download. Here's what that unlocks.
Learn no-code development from scratch: what it is, why it's worth learning, and a simple 3-phase method to build your first working app without writing code.
Learn how to describe your app so an AI builder gets it right: what to put in your first prompt, how to refine the result, and the mistakes that waste time.
What SEO and GEO actually mean, which parts your no-code platform handles for you, and the handful of things you still have to do yourself to get found.
DESIGN.md is a design system file AI agents read to build consistent UI. The two-layer format, the token schema, all 8 sections, and the official CLI explained.
A plain-language dictionary of every part a website or app is built from: sections, forms, tables, overlays and states, so you can name what you want.