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Notes from the vibe.

Practical guides for building real apps with AI, choosing the right tools, and fixing the problems between your first prompt and a working product.

More posts coming weekly. Got a question you want answered? Check the FAQ.

Practical help for building with AI

Vibe coding lets you describe a product in plain language while an AI tool handles much of the implementation. That makes it easier to start, but a useful app still needs clear decisions about structure, data, design, testing, and publishing. This blog focuses on those decisions and explains what to do when the first prompt is not enough.

Start with the complete Lovable guide if you want a structured path from setup to launch. It brings together the key lessons on prompts, credits, databases, domains, and common publishing problems. For a broader view of the category, the introduction to vibe coding explains what the approach means and where it works best.

The tutorials cover problems that appear in real projects. You can learn how to write a prompt that gives Lovable enough context, connect a database, fix build errors, set up a custom domain, and diagnose an app that works in preview but fails after publishing. Checklists and copy ready prompts make each article useful while you are working, not just something to read once.

Tool comparisons take a similarly practical approach. The vibe coding tools guide looks at Lovable, Cursor, Claude Code, Bolt.new, and other options by the kind of work they suit. Individual comparisons go deeper on workflow, control, learning curve, and cost so you can choose based on the project you want to build.

You will also find prompt libraries, project ideas, product updates, and honest reviews. News posts explain what a model or platform change means for builders instead of simply repeating an announcement. Reviews separate the smooth demo experience from the work required to maintain a real app.

If you already have a specific question, browse the latest articles above or visit the vibe coding FAQ. The FAQ collects direct answers about Lovable, AI coding, security, ownership, pricing, and what beginners should learn first. New articles are added as the tools and the questions around them change.