Vibe Coding
Marketers who can build ship faster than almost anyone. These playbooks cover how I plan, prompt, secure and launch real products with AI builders like Lovable and a Supabase backend, including Sendrise, which I built without an engineering team.
What you'll learn
- Plan a product before the first prompt
- Model data and row-level security properly
- Prompt in small, testable steps
- Launch the marketing with the product
Start with these
How to use these playbooks
If you're a marketer who wants to build, start with how I built Sendrise with Lovable and Supabase. It covers the stack, the build order and the mistakes I'd skip.
What vibe coding is good for
Internal tools, landing pages, calculators, client portals and real SaaS products, as long as you plan before you prompt. AI builders like Lovable write real code that you own, and Supabase gives you a database, login, storage and security rules in one place.
Where people get hurt
- Prompting before planning. Write a one-page spec of screens, tables and roles first.
- Skipping security. Turn on row-level security for every table from day one.
- Building wide instead of deep. Finish one complete flow before adding features.
- Not reading the diff. You don't have to write code to understand what changed.
- Leaving distribution until last. If you're a marketer, the launch is your advantage.
What I'm building this way
Sendrise (live), SendReach for LinkedIn outreach and ResumeGround for AI-tailored resumes. This blog runs on the same stack. I write up what works, what breaks and what it costs as I go.
Questions people ask
Building software by describing what you want to an AI tool in plain language, then reviewing and refining what it writes. Tools like Lovable turn those descriptions into working apps.
Yes, if you plan carefully and take security seriously. I built Sendrise, a cold email platform, with Lovable and Supabase without an engineering team. Being able to read the code it writes still helps a lot.
It can be. Lovable writes real React code and works with Supabase for the database and login. The risky parts are the data model and the security rules, so review those yourself before real users arrive.
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