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Notes -
I wouldn't expect to get much from a local model unless you're basically an expert in how to set up these things with world-class hardware. If you really want to see what it can do, pony up the $20 for a subscription to Anthropic, Google, OpenAI, Cursor, whoever. AFAIK, they're all easy to cancel after that one month. On a personal device if you need to and corporate is being all uptight about what's done on work devices.
I still don't trust it to write large amounts of code that isn't just boilerplate or make any architectural decisions, but it's quite good at tracking down problems and fixing bugs on its own. I've been using it a significant amount on a Python project I've taken on at work - I don't really know Python all that well, and it's a big help with some of the trickier parts. Using OpenCode with our corporate account for Claude Opus 4.6 in Agent mode, it seems to work well to set up a unit test that exercises a problem and tell it to run that test and fix the issue in the proper place. When I run into some bug or confusing point that I can't make much sense of, and I expect that solving it myself would involve hours of web searching and poring over library docs, it usually is able to solve it in under a minute. And the fix and reason why it works is explained and usually only a couple of lines of code, so it's easy to verify that it's correct and not doing any other crazy stuff.
You definitely do IMO need to treat it like a over-enthusiastic junior and carefully review everything it does to ensure it makes sense.
I'm not. It's hard to imagine how I could expect less. I repeat. I told it to write "Hello world!" and a single unit test to verify output. There, quite literally, isn't anything less I could ask of it.
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