For the past year, everyone’s been talking about how AI can generate smart contracts.
And yes — it can.
You can prompt your way into a Solidity contract in seconds.
But after working on this space for a while, I’ve realized something:
👉 generating code was never the real bottleneck.
The real bottleneck starts after the code is generated.
Things like:
- structuring the project properly
- writing and running tests
- managing dependencies
- handling deployment
- making safe iterations
AI helps you get started faster.
But it doesn’t remove the complexity of building something real.
🧠 Where things break
I’ve seen this pattern a lot:
You generate a contract → it looks fine
Then you try to actually use it → everything gets messy
- tests are missing or incomplete
- deployment is unclear
- small changes break things
- no real structure to build on
And suddenly you’re back to doing everything manually.
⚡ So what changes?
Instead of asking:
“Can AI generate this contract?”
Maybe the better question is:
“Can AI help me manage the entire development workflow?”
From idea → contract → tests → deployment → iteration
👀 Open question
Curious how others are experiencing this:
Are you actually using AI in your smart contract workflow?
Where does it help the most?
Where does it completely fall apart?
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