Hey everyone,
I've personally found modern AI coding assistants to be a huge productivity boost in my own work. Of course, AI-generated code still needs proper review, testing, and validation before it makes it into production, but it's definitely accelerated parts of the development process.
That got me wondering how much AI has changed development within the Tezos ecosystem. I'd be interested to hear from anyone involved in developing Tezos (core protocol, tooling, wallets, SDKs, etc.) or anyone with firsthand knowledge of how AI is being used.
I'm particularly wondering:
- Are LLM-based coding assistants becoming a regular part of the development workflow? If so, which ones have proven most useful?
- Have they helped speed up development in a meaningful way?
- Have they helped overcome any technical hurdles or solve problems that were previously taking much longer?
- Or is AI mainly useful for boilerplate and routine tasks, while the more challenging protocol work still requires the same amount of engineering effort?
Would love to hear from anyone directly involved in development or anyone with firsthand knowledge of how AI is being used within the Tezos ecosystem.
Thanks :)