I used to open Remix, stare at a blank Solidity file, and freeze.
No idea where to start.
So I did what everyone says: “just write more code.”
I copied patterns from tutorials, tweaked a few lines, hit deploy…
And still felt like I wasn’t actually learning how smart contracts worked.
The weird part?
It wasn’t a lack of practice.
It was how I was practicing.
One day I tried something different:
I stopped starting from scratch — and started “vibecoding” with AI instead.
Not to cheat.
To see what would happen if I treated AI as a rough sketch artist and myself as the editor.
That experiment turned into today’s article.
This is Day 28 of the 60‑Day Web3 journey, still in Phase 3: Development. The goal for today is to understand what “vibecoding” is, how to use AI tools to scaffold Solidity contracts, and how to review and harden that code so it’s actually safe to deploy.
“Vibecoding” is the idea of building from vibes and prompts instead of blank files: you describe what you want in natural language and let an AI tool generate the first version of your code.
In Web3, that means using AI to scaffold Solidity contracts, test cases, or even full dApp skeletons so you can iterate on ideas much faster.
The mindset shift:
AI becomes a collaborator that handles boilerplate while you stay in charge of architecture, safety, and product thinking.
You’re not skipping learning; you’re using AI to remove grunt work so you can spend more time understanding what the code actually does.
Good vibecoding starts with good prompts. A vague “write a staking contract” is a recipe for weird, unsafe code.
This kind of prompt pushes the AI towards patterns you already understand from the Journey Logger V2, just in a different context.
Assume you feed the prompt above into your AI tool. A reasonable output might look like this:
AI code generators copy patterns they’ve seen, but they don’t “understand” economic incentives or attack surfaces.
Baseline checklist for any AI‑generated contract:
Even if the contract compiles, that doesn’t mean it’s safe.
For standard functionality (tokens, access control, pausing, etc.), you can sanity‑check AI output against:
If the AI invented something you’ve never seen anywhere else, treat it with suspicion. Ask it why it made a choice, or explicitly prompt it to follow a known pattern.
Even for small demo contracts, aim for:
AI is great at generating draft code and even draft tests, but humans are responsible for understanding the behavior and risks.
For someone aiming at DevRel or technical education, vibecoding is a superpower:
A content pattern you can reuse:
In doing so, you position yourself not just as “someone who writes Solidity,” but as a guide who helps others navigate the new AI‑assisted way of building.
