I used to think local AI was mostly useful for demos and small experiments.
Then I spent a few days testing Gemma 4 on my laptop.
The interesting part wasn’t benchmark numbers. It was how usable the model actually felt during normal development work.
I tested it with:
Rails services
old migrations
background jobs
messy business logic
and it handled repository context better than I expected from a local model.
It still struggles with bigger architectural decisions and long autonomous tasks, but debugging and code understanding were surprisingly solid.
The biggest takeaway for me:
local models are finally becoming practical enough that I’d actually keep one running during daily work.
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